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All Journal Jurnal Simetris Jurnal Teknologi dan Sistem Komputer JURNAL ENGGANO Jurnal DISPROTEK JURTEKSI Abdimas Universal Jurnal Teknologi Dan Sistem Informasi Bisnis SKANIKA: Sistem Komputer dan Teknik Informatika Bulletin of Computer Science Research Journal of Dinda : Data Science, Information Technology, and Data Analytics As-Sidanah : Jurnal Pengabdian Masyarakat Jurnal Minfo Polgan (JMP) Jurnal Rekognisi Akuntansi (JRA) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat)

Mulyo, Harminto

Universitas Islam Nahdlatul Ulama Jepara

Author-ID : 2728373

Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Pelatihan Pembuatan Media Pembelajaran “Karpet Ajaib” untuk Meningkatkan Keterampilan Guru di MI Al-Islam Krasak Jepara Harminto Mulyo; Khalimatus Sa'diyah; Dwi Noviyani; Anita Ameliya; Rohmatun Nikmah; Aufa Maulana Hidayat
Abdimas Universal Vol. 3 No. 1 (2021): April
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Balikpapan (LPPM UNIBA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/abdimasuniversal.v3i1.110

Permasalahan yang dihadapi oleh mitra dalam pengabdian masyarakat ini adalah sulitnya menyampaikan materi memanfaatkan Teknologi Informasi dan Komunikasi ke peserta didik dikarenakan belum meratanya fasilitas internet di area MI Al-Islam Krasak bangsri Jepara. Berdasarkan observasi yang pengabdi lakukan, pelaksanaan pembelajaran menjadi sulit dikontrol karena guru masih kebingungan dalam mencari alternatif media yang akan digunakan untuk menyampaikan materi ke peserta didik. Pelaksanaan pengabdian ini yaitu berbentuk pelatihan dengan tujuan untuk membekali guru dalam mengembangkan media pembelajaran alat peraga edukatif (APE) yang dapat memberikan pengalaman belajar bagi siswa. Tahapan pada pengabdian ini yaitu perencanaan, pelaksanaan pengabdian, dan diseminasi hasil karya. Dari hasil diseminasi, luaran berupa produk media pembelajaran ”karpet ajaib” untuk mata pelajaran matematika dan pendidikan agama islam berhasil dikembangkan oleh peserta. Evaluasi yang pengabdi lakukan menunjukkan pemahaman dan kemampuan guru dalam mengembangkan media pembelajaran meningkat sehingga diharapkan guru dapat mengembangkan media pembelajaran untuk mata pelajaran yang lain.

ANALISIS POLA SEBARAN PARAMETER FISIKA AIR LAUT SEBAGAI DAYA DUKUNG USAHA BUDIDAYA TAMBAK IKAN DI KABUPATEN JEPARA, JAWA TENGAH Arif Mustofa; Harminto Mulyo
JURNAL ENGGANO Vol 5, No 1
Publisher : Universitas Bengkulu

Faktor penting dalam usaha budidaya tambak adalah kualitas air laut yang sesuai dengan kebutuhan hewan budidaya. Media ini harus optimal semua parameternya. Pengukuran parameter fisik kualitas air laut dilakukan untuk menganalisis kesesuaian kondisi fisika air laut sebagai media budidaya sesuai daya dukung lingkungan perairan untuk usaha tambak. Sampel berupa air laut diambil dari 10 titik di sepanjang pantai Kabupaten Jepara dengan pengulangan masing-masing 3 kali. Analisa parameter fisika air laut yang diukur secara insitu adalah suhu, salinitas, dan kecerahan. Sedangkan total padatan tersuspensi dengan analisa sesuai prosedur pengukuran kandungan total zat padat tersuspensi berdasarkan SNI 06-6989.3-2004. Analisis daya dukung lingkungan dilakukan pada tiap titik dengan memberikan pembobotan terhadap parameter lingkungan perairan. Selanjutnya dikategorikan dalam sistem kelas, yaitu kelas S1 adalah tingkat sangat sesuai, kelas S2 adalah tingkat sesuai dan kelas S3 adalah tingkat tidak sesuai. Analisa menggunakan metode SIG untuk mendapatkan peta kesesuaian parameter kualitas air laut. Pengukuran parameter kualitas air di perairan Kabupaten Jepara mendapatkan data suhu sebesar 27,8-28,6oC, salinitas sebesar 35,0- 37,3 ppt kecerahan sebesar 70-120 cm dan Total Suspended Solid (TSS) sebesar 48,60-64,40 mg/l. Sepanjang perairan pantai Kabupaten Jepara tidak ada yang masuk dalam kelas S1. Lokasi perairan yang masuk dalam kelas S2 perairan Kecamatan Kedung, Kecamatan Tahunan, Kecamatan Keling dan Kecamatan Donorojo. Sedangkan kelas S3 berada pada perairan Kecamatan Jepara, Kecamatan Mlonggo, Kecamatan Bangsri dan Kecamatan Kembang.ANALYSIS OF SEA WATER PHYSICS PARAMETER DISTRIBUTION AS AN AQUACULTURE SUPPORT IN JEPARA REGENCY, CENTRAL JAVA. An important factor in pond aquaculture is the quality of sea water in accordance with the needs of cultivan aquaculture. This media must optimize all parameters. Measurement of physical parameters of seawater quality is carried out to analyze the suitability of the physical conditions of seawater as a culture medium in accordance with the carrying capacity of the aquatic environment for the pond business. Samples in the form of sea water were taken from 10 points along the coast of Jepara Regency with each repetition of 3 times. Analysis of seawater physics parameters measured in situ are temperature, salinity, and brightness. While the total suspended solids are analyzed according to the procedure for measuring the total content of suspended solids based on SNI 06-6989.3-2004. Environmental carrying capacity analysis is carried out at each point by giving a weighting to the parameters of the aquatic environment. Furthermore, it is categorized in the class system, namely the S1 class is a very appropriate level, the S2 class is the appropriate level and the S3 class is the inappropriate level. The analysis uses GIS method to get a map of the suitability of seawater quality parameters. Water quality parameter measurements in Jepara Regency waters get temperature data of 27.8-28.6oC, salinity of 35.0-37.3 ppt brightness of 70-120 cm and Total Suspended Solid (TSS) of 48.60-64, 40 mg/l. Along the coast of Jepara Regency, no one is included in the S1 class. The location of waters included in the S2 class of waters of Kedung Subdistrict, Tahunan Subdistrict, Keling Subdistrict and Donorojo Subdistrict. While the S3 class is in the waters of Jepara District, Mlonggo District, Bangsri District and Kembang District.

STATISTICAL TECHNIQUE DAN PARAMETER OPTIMIZATION PADA NEURAL NETWORK UNTUK FORECASTING HARGA EMAS Harminto Mulyo
Jurnal DISPROTEK Vol 7, No 2 (2016)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v7i2.432

ABSTRACT Gold is a precious metal that is valuable in the world that is soft, corrosion-resistant, malleable. The investment experts often advise to invest in gold because gold is a classic hedge against inflation and adds value in conditions of instability of currency exchange rate fluctuations. Gold price history data from year to year tends to rise, it's interesting researchers to examine the data using a variety of forecasting methods, including Statistical Technique and Data Mining Technique. Experiments were performed to look for the smallest error value by using statistical techniques and data mining. From the test results, the best statistical technique that uses a technique Single Moving Average with MSE of 760.55. In the data mining technique using Neural Network Backprogration obtained RMSE of +/- 22 730 6945. Keywords: Parameter, Optimization, gold, Neural Network ABSTRAK Emas merupakan salah satu logam mulia yang bernilai di dunia yang bersifat lunak, tahan korosi, mudah ditempa. Para pakar investasi seringkali menganjurkan untuk berinvestasi pada emas karena emas merupakan sarana lindung nilai klasik untuk melawan inflasi dan menambah nilai dalam kondisi ketidakstabilan fluktuasi nilai mata uang. Data riwayat harga emas dari tahun ke tahun cenderung naik, hal tersebut menarik peneliti untuk menguji data menggunakan berbagai metode peramalan, diantaranya Statistical Technique dan Data Mining Technique.Eksperimen dilakukan untuk mencari nilai error terkecil dengan menggunakan teknik statistik dan data mining. Dari hasil pengujian, teknik statistik terbaik yaitu menggunakan teknik Single Moving Average dengan MSE sebesar 760.55. Pada teknik data mining dengan menggunakan metode Neural Network Backprogration didapat RMSE sebesar 22.730 +/- 6.945. Kata Kunci: Parameter, Optimization, emas, Neural Network

INTEGRATION OF STUDENT ACADEMIC INFORMATION SYSTEMS WITH TELEGRAM BOT AS AN AUTOMATIC ANSWERING MACHINE Harminto Mulyo; Gunawan Mohammad
Jurnal DISPROTEK Vol 13, No 1 (2022)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v13i1.3043

The Student Academic Information System (SIAMA) is web-based software developed to manage students' academic data. In this system, student academic data is processed to make academic information useful for students. However, to access the system requires many steps so that time is less efficient if you have to browse through all the stages. Not to mention the need for internet data quotas that are calculated based on how much content the system downloads and uploads. To speed up access to that information, it can be done by integrating the Telegram Bot service as an automated answering service controlled by robots. Using the PPDIOO method, SIAMA has been successfully integrated as an automated answering machine through the utilization and development of the Telegram Bot PHP Library collaborated with Crontab Linux. From the test results, it is known that the response time from the Bot is indicated at the same hour and minute or < 1 minute which means that the bot execution time is relatively fast.

INOVASI PEMASARAN PORDUK GULA KACANG MELALUI SISTEM PENANDA LOKASI GLOBAL POSITIONING SYSTEM(GPS) Harminto Mulyo; Kartika Widiastuti; Zubaedah Zubaedah; Muhammad Verdy Fahrudin; Mochamad Handre Fidiyanto; Rahmawan Arniyanto
As-Sidanah Vol 3 No 1 (2021): APRIL
Publisher : LP2M Universitas Ibrahimy

Increasing marketing innovation is very important in progress in entrepreneurship. Of course, in Micro, Small and Medium Enterprises (MSMEs). MSMEs is a commercial business whose management is carried out by individuals or individuals as well as business entities with a small scope, better known as micro. The problem faced by most small businesses or industries is that they do not have a Global Positioning System (GPS) partner business location marker system. Global Positioning System (GPS) is a navigation system that uses more than 24 MEO (Medium Earth Orbit) satellites that can provide information on the user's position wherever they are. GPS also plays an important role in increasing marketing to MSMEs. By using GPS, it is easier for people to access the location of MSMEs. With community service related to MSMEs assistance in traditional types of peanut sugar, it is hoped that it can provide MSMEs solutions. The problem solving method used is based on a management approach in improving production and sales results with 3 (three) stages of program implementation, namely preparation, implementation and monitoring and evaluation.

Penerapan Algoritma Genetika Dalam Efisiensi Persediaan Bahan Baku Mebel Di UD. Mebel Jati Harminto Mulyo
Jurnal Rekognisi Akuntansi Vol. 2 No. 2 (2018)
Publisher : Accounting Study Program, Faculty of Economics and Business

Efficiency in determining the amount of inventory or raw material needs is an important issue for a company. Like other companies, furniture is also a company or industry that processes wood basic materials into household furniture such as cabinets, tables, chairs, and so on. The raw material for furniture is wood, and the availability of wood in the market is quite high and not always available. So furniture needs to be prepared by estimating the need for raw materials. With a good inventory system, furniture will get optimal profit. Genetic Algorithm is applied in optimizing the estimation of furniture raw materials to provide maximum profit by saving inventory costs. Genetic Algorithm used method of extended intermediate crossover, mutation, calculate the value of fitness and selection. In this study, there are 12 chromosomes which are furniture production data within a period of 12 months. The chromosome representation used is discrete decimal encoding. And each chromosome has genes 1-7 which is the product type. The optimal solution obtained from a population size of 100 populations, the combination of crossover and mutation is 1 and 1. With the highest fitness value of 45.00.

Klasifikasi penerima bantuan program rehabilitasi rumah tidak layak huni menggunakan algoritme K-Nearest Neighbor An-Naas Shahifatun Na’iema; Harminto Mulyo; Nur Aeni Widiastuti
Jurnal Teknologi dan Sistem Komputer Volume 10, Issue 1, Year 2022 (January 2022)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2021.14110

The registrars for rehabilitation programs for uninhabitable settlements are increasing every year. The large data processing of registrants may result in inaccuracies and need a long time to determine livable houses (RTLH) and unfit for habitation (non RTLH). This study aims to apply the K-Nearest Neighbor algorithm in classifying the eligibility of recipients of uninhabitable house rehabilitation assistance. The data used in this study were 1289 data with 13 attributes from the Jepara Regency Public Housing and Settlement Service. Data processing begins with attribute selection, categorization, outlier data cleaning, and data normalization and method application. The proposed system has the best classification at k of 5 with an accuracy of 97.93%, 96.88% precision, 99.53% recall, and an AUC value of 0.964.

Pengembangan Inovasi Produk Roti pada Home Industry Andil Jaya Bakery Bugo Jepara Ali Sofwan; Octavianti Paramitha; Harminto Mulyo; Hayu Dian Yulistianti; Santi Andriyani; Nusrotus Sa’idah
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 4, No 2 (2020): Oktober 2020
Publisher : IKIP PGRI Bojonegoro

ABSTRACTAndil Jaya Bakery is one of the home bakery industries in the village of Bugo Jepara. Based on the observations result made by the team, the partner’s problems were the lack of productivity and product innovation so that the development of partners' businesses did not develop maximally. The purpose of this service program is to provide training and assistance on product innovation. The methods used are; 1) on the product aspect, the team give fasility to partners by give them a planetary mixer; and 2) in the production aspect, the team conducts activities and product innovation training. The result of this activity is the creation of bread product innovations in the form of roti sisir and roti kasur with various flavors, namely chocolate, pineapple, strawberry and cheese. Keywords: product innovation, home bakery industry, regional superior products ABSTRAKAndil Jaya Bakery merupakan salah satu home industri roti yang ada di desa Bugo Jepara. Berdasarkan hasil observasi yang telah dilakukan oleh tim, permasalahan yang dimiliki oleh mitra adalah kurangnya produktifitas dan inovasi produk sehingga perkembangan usaha mitra tidak berkembang secara maksimal. Tujuan dari pengabdian ini adalah untuk memberikan pelatihan dan pendampingan mengenai inovasi produk. Adapun metode yang digunakan adalah; 1) pada aspek produk, tim memberi vasilitas kepada mitra dengan memberikan alat mixer planetary; dan 2) pada aspek produksi, tim mengadakan kegiatan dan pelatihan inovasi produk. Hasil dari kegiatan ini adalah terciptanya inovasi produk roti berupa roti sisir dan roti kasur dengan berbagai varian rasa, yaitu coklat, nanas, strawberi dan keju.Kata Kunci: inovasi produk, home indutri roti, produk unggulan daerah

Media Pembelajaran Interaktif Virtual Bitmoji Scene di Mi Miftahul Ulum 02 Honggosoco Muhammad Misbahul Munir; Harminto Mulyo; Fira Nadliratul Afrida; Irma Nur Af’idah
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 7, No 2 (2023): Oktober 2023
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/j-abdipamas.v7i2.2829

ABSTRACTTechnological advances involve renewal and innovation in various aspects, one of its is in learning. Technology-based interactive media need to be developed to support the learning process. In this case, the role of educators is very important in developing media. But in reality, there are still many educators who have not been able to create and innovate learning media development. This will certainly affect the learning interest of students because learning is monotonous and boring. The solution offered is based on the description of the problem, namely by assisting in the creation of technology-based interactive learning media. One of the technology-based interactive media that can be developed to improve the quality of education is Virtual Bitmoji Scene. Virtual Bitmoji Scene is an effective interactive learning media by applying animated characters that can be adapted to the age background of SD/MI students. This assistance is able to help educators create interactive learning media so that it is hoped that learning objectives will be more easily achieved. Based on the results of the mentoring and training activities carried out from the four assessed aspects, namely the understanding and skills of educators in using technology-based learning media as well as the understanding and ability of educators to create interactive learning media Virtual Bitmoji Scene, an average increase of 65.55% was obtained. . So it can be concluded that there is improvement of educators understanding and skill regarding interactive learning media based on Virtual Bitmoji Scene technology. Keywords : Technology, Interactive, Virtual Bitmoji Scene ABSTRAKKemajuan teknologi mengharuskan adanya pembaruan dan inovasi di berbagai aspek, salah satunya dalam pembelajaran. Media interaktif berbasis teknologi perlu dikembangkan untuk menunjang proses pembelajaran. Dalam hal ini, peran pendidik sangat penting dalam mengembangkan media. Namun pada kenyataannya, masih banyak pendidik yang belum mampu berkreasi dan berinovasi dalam mengembangkan media pembelajaran. Hal ini tentu akan berpengaruh pada minat belajar peserta didik dikarenakan pembelajaran yang monoton dan membosankan. Solusi yang ditawarkan berdasarkan uraian permasalahan tersebut yaitu dengan pendampingan pembuatan media pembelajaran interaktif berbasis teknologi. Salah satu media interaktif berbasis teknologi yang dapat dikembangkan untuk meningkatkan kualitas pendidikan yaitu Virtual Bitmoji Scene. Virtual Bitmoji Scene merupakan media pembelajaran interaktif yang efektif dengan menerapkan karakter animasi yang dapat disesuaikan dengan latar belakang usia peserta didik SD/MI. Pendampingan ini mampu membantu pendidik membuat media pembelajaran interaktif sehingga diharapkan tujuan pembelajaran akan lebih mudah tercapai. Berdasarkan hasil kegiatan pendampingan dan pelatihan yang dilakukan dari ke empat aspek yang dinilai, yaitu pemahaman dan keterampilan pendidik dalam menggunakan media pembelajaran berbasis teknologi serta pemahaman dan kemampuan pendidik membuat media pembelajaran interaktif Virtual Bitmoji Scene, diperoleh hasil rata-rata peningkatan sebesar 65,55%. Sehingga dapat disimpulkan terjadi peningkatan pemahaman dan keterampilan pendidik mengenai media pembelajaran interaktif berbasis teknologi Virtual Bitmoji Scene. Kata Kunci : Teknologi, Interaktif, Virtual Bitmoji Scene

PENINGKATAN AKURASI PREDIKSI PEMILIHAN PROGRAM STUDI CALON MAHASISWA BARU MELALUI OPTIMASI ALGORITMA DECISION TREE DENGAN TEKNIK PRUNING DAN ENSEMBLE Harminto Mulyo; Nadia Annisa Maori
Jurnal Disprotek Vol 15, No 1 (2024)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v15i1.5585

ENHACING PREDICTION ACCURACY OF NEW STUDENT PROGRAM SELECTION THROUGH DECISION TREE ALGORITHM OPTIMIZATION WITH PRUNING TECHNIQUE AND ENSEMBLEIn the current era of reform and globalization, the complexity of choosing the right study program is increasing with the many choices available. One of the challenges faced by the Nahdlatul Ulama Islamic University (UNISNU) Jepara is the increase in students with non-active status which can have an impact on the reputation of the university. One of the factors that can influence is the inaccuracy of students in choosing a study program, so that they are reluctant to continue because they are not enthusiastic about continuing their studies. The solution provided is to predict the selection of the right study program for prospective new students by utilizing the Decision Tree algorithm which is optimized with pruning and ensemble techniques with Random Forest which can help overcome overfitting in the decision tree. The data used is UNISNU student data from 2013 to 2023 with a total of 15,289 records and 52 attributes. The results showed that the Decision Tree and Random Forest models provided the highest accuracy, namely 0.88 with a max_depth value of 20 and succeeded in overcoming the problem of overfitting the decision tree. This model can then be used as a recommendation in predicting the selection of study programs for prospective new students at UNISNU Jepara.Dalam era reformasi dan globalisasi saat ini, kompleksitas dalam memilih program studi yang sesuai semakin meningkat dengan banyaknya pilihan yang tersedia. Salah satu tantangan yang dihadapi oleh Universitas Islam Nahdlatul Ulama (UNISNU) Jepara adalah meningkatnya mahasiswa dengan status non-aktif yang dapat berdampak pada reputasi universitas. Salah satu faktor yang dapat mempengaruhi adalah ketidaktepatan mahasiswa dalam memilih program studi, sehingga enggan untuk meneruskan karena tidak bersemangat dalam melanjutkan perkuliahan. Solusi yang diberikan adalah dengan melakukan prediksi pemilihan program studi bagi yang tepat bagi calon mahasiswa baru dengan memanfaatkan algoritma Decision Tree yang dioptimalkan dengan teknik pruning dan ensemble dengan Random Forest yang dapat membantu mengatasi overfitting pada decision tree. Data yang digunakan adalah data mahasiswa UNISNU dari tahun 2013 sampai dengan 2023 dengan jumlah 15.289 record dan 52 atribut. Hasil penelitian menunjukkan model Decision Tree dan Random Forest memberikan akurasi tertinggi, yaitu 0.88 dengan nilai max_depth sebesar 20 dan berhasil mengatasi masalah overfitting pada decision tree. Model ini selanjutnya dapat menjadi rekomendasi dalam prediksi pemilihan program studi bagi calon mahasiswa baru di UNISNU Jepara.

Co-Authors Abdilllah, Muh Sajid Akhmad Khanif Zyen Ali Sofwan An-Naas Shahifatun Na’iema Andriansyach, Dimas Jordy Anita Ameliya Arif Mustofa Aufa Maulana Hidayat Azhar, Maulana Buang Budi Wahono, Buang Budi Doni Agung Prasetyo Dwi Noviyani Fira Nadliratul Afrida Gunawan Mohammad Hayu Dian Yulistianti Irma Nur Af’idah Kartika Widiastuti Khalimatus Sa'diyah Manzis, Akhmad Hossam Maori, Nadia Annisa Mochamad Handre Fidiyanto Muhammad Arqom Anwar Muhammad Misbahul Munir Muhammad Verdy Fahrudin Nadia Annisa Maori Nadia Annisa Maori Nur Aeni Widiastuti Nur Aeni Widiastuti Nur Taqwimi, Muhammad Ahsani Nusrotus Sa’idah Octavianti Paramitha R Hadapiningradja Kusumodestoni Rahmawan Arniyanto Rivaldo, Muchammad Dwi Rohmatun Nikmah Santi Andriyani Sarwido Sarwido, Sarwido Teguh Tamrin Wibowo, Gentur Wahyu Nyipto Zubaedah Zubaedah

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