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All Journal Pixel : Jurnal Ilmiah Komputer Grafis JURTEKSI Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Manajemen Informatika dan Sistem Informasi Jambura Journal of Electrical and Electronics Engineering JATI (Jurnal Mahasiswa Teknik Informatika) JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal IPTEK Bagi Masyarakat Jurnal ABDIMAS Budi Darma Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Ilmu Komputer untuk Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) SainsTech Innovation Journal Internet of Things and Artificial Intelligence Journal Journal of Artificial Intelligence and Digital Business ETIK (Jurnal Elektronika Terapan dan Ilmu Komputer) Jurnal Pengabdian Bersama Masyarakat Indonesia Pekayunan

Saikin

STMIK Lombok

Author-ID : 2968286

Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

Published : 31 Documents Claim Missing Document

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MODEL DATA MINING UNTUK KAREKTERISTIK DATA TRAVELLER PADA PERUSAHAAN TOUR AND TRAVEL Saikin Saikin; Kusrini Kusrini
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 2 No. 2 (2019): MISI Juni 2019
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v2i2.105

Bagi perusahaan yang bergerak dibidang sektor jasa, seperti perusahaan tour and travel pengolahan data sangatlah penting untuk mengetahui karakteristik atau minat wisatawan dalam berwisata. Sulitnya memprediksi kebutuhan atau minat wisatawan, merupakan kendala yang dihadapi perusahaan tour and travel sehingga manajemen harus dapat mengambil keputusan yang tepat dan cepat, guna memberikan pelayanan yang baik serta kepuasan kepada customer. Keputusan yang diambil harus mempertimbangkan dengan baik berdasarkan data-data yang dimiliki terutama yang berkaitan erat dengan karakteristik data traveller. Analisis data untuk mencari pola karakteristik data dari traveler memutuhkan metode yang baik dan hasil yang akurat , sehingga hasil dari analisis tersebut dapat menemukan informasi yang berguna bagi perusahaan. Metode pengeolahan data yang sering digunakan ialah data mining. K-Nearest Neighbour (K-NN) merupakan salah satu algoritma data mining yang cara kerjanya menerapkan pembelajaran pada data. Tujuan dari penelitian ini akan melakukan analisis data travellers atau wisatawan pada perusahaan tour and travel dengan menggunakan algoritma K-NN untuk mencari minat atau karakteristik wisatawan dalam memilih objek wisata. Pada hasil kualifikasi metode K-NN dan pengujian dengan metode confusion matrix nilai akurasi yang didapat 84%, nilai presisi 88%, nilai recall 85 dan nilai f1-score 85%. Pada hasil kualifikasi menunjukan bahwa objek wisata yang cenderung dominan menjadi minat wisatawan ada pada objek wisata pantai.Berdasarkan hasil analisis dengan menggunakan kedua metode tersebut bahwa karakteristik wisatawan cendrung memilih paket nomor 3 yakni Reguler Tour Lombok Packagage, dan objek wisata yang dominan minat wisatawan yakni objek wisata pantai dan disusul oleh objek wisata gili.

PENERAPAN DATA MINING UNTUK MEMPREDIKSI PENJUALAN KAIN TENUN MNGGUNAKAN REGRESI LINEAR Firda Widia; Wafiah Murniati; Saikin
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol 2 No 1 (2022): Maret, Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Abstract Weaving craft is one of the handicrafts located in Lombok, West Nusa Tenggara. Weaving is one of the MSMEs that is very close to the tourism industry and has good economic potential because it absorbs a lot of labor, opens up business fields, and increases the country's foreign exchange. The problem that is often faced by entrepreneurs of woven fabrics is the difficulty in estimating customer demand, so that some of the products requested by customers are not available. It is necessary for sales analysis of woven fabric products to be able to predict customer demand, by means of analyzing past sales data to predict future sales. The research that will be carried out is to predict sales of woven fabric products by processing sales data in the past by modeling the Linear Regression method, and for testing the algorithm is by Mean Square Error (MSE), Mean Square Error (MSE) and Root Mean Square Error. (RMSE). From the results of linear regression modeling the score obtained is 0.8041320270845731. and the test results mean Mean Square Error (MSE) the error value obtained is too high, namely 47,377, and the Root Mean Square Error (RMSE) value is 6.883125, while the MAE score is 3.373572.

Pembuatan Vidio Profil Sebagai Penunjang Informasi Dan Promosi Cagar Budaya Di Lombok Tengah Suhaini Suhaini; Sofiansyah Fadli; Maemun Saleh; Lalu Mutawalli; Hairul Fahmi; Maulana Ashari; Saikin Saikin
Jurnal ABDIMAS Budi Darma Vol 2, No 2 (2022): Februari 2022
Publisher : STMIK Budi Darma

Indonesia is one of the countries with the most favorite tourist objects in the world. There are many cultures, customs and natural beauty that are still preserved. One type of tourism that is closely related to history and ancestral heritage is cultural heritage. Cultural heritage has a high historical value and witnesses the civilization of life on earth. One of the districts in West Nusa Tenggara, namely Central Lombok Regency, has 150 cultural heritages spread across various sub-districts. 7 of these cultural heritages have been recorded at the national and even international levels. However, due to limited sources of information and access to cultural heritage sites, tourists and local people do not know the locations and history of the cultural heritage sites. So that research is carried out with the aim of obtaining valid data and information to be promoted in the form of videos that can be watched by anyone, anywhere and anytime via YouTube and can be used as a medium of learning about the life history of the ancestors of the Sasak tribe in Central Lombok Regency.In the research conducted, the researchers collected data and information by means of literature study, observation and direct interviews to cultural heritage locations and the Tourism Office of Central Lombok Regency. Method of analysis with SWOT (Strengths, Weaknesses, Opportunities, Threats). The design method uses the multimedia production process flow method with Adobe Audition software as audio editing and Adobe Premiere Pro 2020 as video editing. And the questionnaire test is used to obtain responses from the respondents by calculating the Likert scale

SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN MURID BARU MENGGUNAKAN METODE AHP DAN SAW Maulana Ashari; Siti Halimatun Jannah; Sofiansyah Fadli; Saikin
Pixel :Jurnal Ilmiah Komputer Grafis Vol 14 No 2 (2021): Jurnal Ilmiah Komputer Grafis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v14i2.592

The decision support system as a tool for decision making, has now begun to be widely applied in various fields of life, not least in making a decision for the process of accepting new students at the MA Sabilurrasyad NW Barabaliused. With the decision support system (SPK) can help schools in the selection of new students. The method used in building a decision support system in this research is the Analytical Hierarchy Process (AHP). The method used to select new students is the Analytical Hierarchy Process (AHP) which functions to calculate the final score of each student in the school and the Simple Additive Weighting (SAW) serves to rank each student.The result of this study is that the combination of the AHP (Analytical Hierarchy Process) and SAW (Simple Additive Weighting) methods in determining new student admissions at the MA Sabilurrasyad NW Barabali School can be used. SPK (Decision Making System) can display information according to what the user inputs correctly.

Sistem Pendukung Keputusan Penentuan Keluarga Miskin Menggunakan Metode Fuzzy Tsukamoto Sofiansyah Fadli; Maulana Ashari; Saikin Saikin
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

The government, in this case the ministry of national development planning the Republic of Indonesia/national development planning agency has tried to reduce poverty in each region. With articulated the various poverty alleviation programmes, including the presence of cluster I, cluster II, cluster III and cluster IV. Social assistance programs launched by the Government, in particular the first Cluster program got more attention from the citizens of society. There are 14 poverty criteria, which became the reference of criteria for Badan Pusat Statistik (BPS) in determining the poor families that eligible to receive aid from the Government. Poor and not poor membership has a value of 0 and 1, were in fact, poverty has different levels. Determination of the poverty program at this time there is a problem in terms of decision-taking which there are to many subjectivity, for example which is not poor is said to be poor in the data recording/logging. In this paper, a computerized system for determining of a poor family. The method used in this studyis developed Fuzzy Tsukamoto. Tsukamoto Fuzzy method used in the process of selection by holding against 14 criteria. Output of the system can facilitate the Management of the village in taking decisions to determine the recipients of the aid programs initiated by the Governmen. The results based on the accuracy test that has been carried out using a data sample of 7 RUTA, the results obtained are 0.568 (very poor), 0.684 (poor), 0.506 (very poor), 0.697 (poor), 0.577 (very poor), 0.609 (poor). ), and 0.625 (poor). The poverty rate (Fuzzy Results) with Recommendations (Expert Validation) show the same results or results so that the Fuzzy Tsukamoto method can be applied well in poor families in Darmaji Village.

MODEL FORMAL UNTUK MEMPREDIKSI FAKTOR KEBERHASILAN UMKM DI MASA PANDEMI Lalu Mutawalli; Saikin; Gilang Restu Imam Wahyudi
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

MSMEs are one of the supports of the Indonesian economy, the impact of Covid 19 affects the decline in MSMEs in all regions of Indonesia including in Lombok. Since Pandemic Indonesia has implemented a policy of restrictions on various sectors including tourism. Restrictions impact the lack of tourist visits in Lombok it affects the growth of MSMEs in Lombok. However, some MSMEs have managed to survive even though the conditions of tourism in Lombok are still not normal. The study of the success of MSMEs that succeeded in surviving the Pandemic was needed to gain knowledge about strategies that could strengthen MSMEs. This study uses a FCA as a methodology to make an analysis. The analysis results show discounts and save money in banks, sales on medsos have the highest support of 93%, teamwork and extent capital sources of 87%, PCS, from PC, reciprocity to customers, business development training, Sales with Facebook, also business liquidity is considered sufficient at the same extent point, namely 80%, source of personal capital, product prices with market prices, CS is considered good at the same extent point, which is 73%, there is only one intent Has an extent 67% following training from the government.

Web Edukasi Untuk Pencegahan Pernikahan Dini Menggunakan Metode Waterfall Di Desa Beraim Haekal Fawaid; Saikin; Ahmad S. Pardiansyah; Yuan Sa'adati
SainsTech Innovation Journal Vol. 6 No. 1 (2023): SIJ Volume 6 Nomor 1 Mei 2023
Publisher : LPPM Universitas Qamarul Huda Badaruddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37824/sij.v6i1.2023.389

Pada penelitian ini kami mengembangkan sebuah media edukasi berbentuk website untuk pencegahan pernikahan dini. Metode pengembangan untuk sistem yang kami gunakan adalah metode waterfall. Alasan pemilihan metode ini karena intensnya komunikasi antara pengembang dan pengguna aplikasi, sehingga aplikasi yang dibangun dapat diperbaiki secara berkelanjutan (maintenace). Terdapat beberapa kanal yang kami sediakan dalam rangka memberikan informasi seputar pencegahan pernikahan dini, pernikahan, keluarga, dan kanal latihan soal yang kami tujukan sebagai sarana Tanya jawab dengan pakar di bidang kesehatan keluarga. Berdasarkan hasil pengujian menggunakan metode pengujian blackbox didapatkan hasil yang sesuai untuk semua fitur yang ada dalam aplikasi. Penelitian selanjutnya akan dilakukan pengembangan, perbaikan maupun penambahan fitur berdasarkan hasil masukan dan evaluasi dari pengguna aplikasi. Pernikahan merupakan salah satu fase dalam kehidupan yang mana mayoritas manusia dewasa akan mengalaminya.

EVALUASI USABILITY SISENSI MOBILE MENGGUNAKAN METODE ISO/IEC 9126 DAN NIELSEN MODEL Ayu Lestari; Wafiah Murniati; Saikin; Hasyim Asyari
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 2 (2024): EDISI 20
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i2.4123

The Mobile Attendance and Presence Information System (SISENSI) is an online attendance application that has problems or shortcomings, such as requiring a long time to be absent and lacking a leave permit feature so that users have difficulty applying for leave permission. Therefore, the aim of this research is to test the SISENSI mobile application to determine the quality and shortcomings of the application. The usability evaluation methods that will be used are ISO/IEC 9126 and Nielsen Model. The results of combining ISO/IEC 9126 and the Nielsen Model obtained eight SISENSI Mobile testing factors in the usability field, namely understandability, learnability, operability, attractiveness, memorability, efficiency, errors, and user satisfactions. Respondents in this study were 164 people. The results of this research obtained values for each sub-characteristic namely: understandability 84%, learnability 80%, operability 80%, attractiveness 69%, efficiency 82%, memorability 67%, errors 75% and user satisfactions 65%. Meanwhile, the average value is 75%, so overall SISENSI Mobile is in good condition.

QUALITY ANALYSIS OF ORPHAN PMKS SYSTEMS WITH WEBQUAL 4.0 AND IPA METHODS Riska Indah Cahyanti; Sofiansyah Fadli; Saikin Saikin; Didik Sudyana
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 2 (2024): Maret 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i2.3062

Abstract: The PMKS Orphan Data Collection System is specifically designed to collect data on orphans in Central Lombok Regency. Although it has been around since its creation, there has been no assessment made of the quality of this system. Therefore, this study aims to analyze the quality of the PMKS Data Collection Information System for Orphans using the WebQual 4.0 method and Importance Performance Analysis (IPA). This study aims to identify factors that affect system service quality, focusing on four WebQual 4.0 variables, namely usability, information quality, service interaction, and User Satisfaction. Data was collected through distributing questionnaires and analyzed using IPA methods to assess users' views and expectations of the system. The results of the analysis showed that overall, the quality of this system was rated very good with the Webqual Index score reaching a score of 77%. However, there are certain areas that still need improvement, the PMKS Data Collection System for Orphans has a con- formity rate of 98% and an average gap value (GAP) - 0.06929. Priority is directed at quadrant I and quadrant 3. Improvement recommendations can be made by prioritizing indicators found in quadrants I and III based on the results of the IPA analysis. Thus, effective improvement efforts can be directed to improve the quality of the PMKS Data Collection System for Orphans in accord with user expectations. Keywordss: analysis; Imprtance Performance Analysis (IPA); orphans; PMKS; WebQual 4.0 Abstrak: Sistem Pendataan PMKS Anak Yatim-Piatu dirancang khusus untuk mengumpulkan data anak yatim di Kabupaten Lombok Tengah. Meskipun telah ada sejak pembuatannya, belum ada penilaian yang dilakukan terhadap kualitas sistem ini. Karena itu, penelitian ini bertujuan untuk menganalisis kualitas Sistem Informasi Pendataan PMKS Anak Yatim-Piatu dengan menggunakan metode WebQual 4.0 dan Importance Performance Analysis (IPA). Penelitian ini memiliki tujuan untuk mengidentifikasi faktor-faktor yang memengaruhi kualitas layanan sistem, dengan fokus pada empat variabel WebQual 4.0, yaitu usability, information quality, service interaction, dan User Satisfaction. Data dikumpulkan melalui menyebarkan kuesioner dan dianalisis dengan metode IPA untuk menilai pandangan dan harapan pengguna terhadap sistem. Hasil analisis menunjukkan bahwa secara keseluruhan, kualitas sistem ini dinilai sangat baik dengan nilai Webqual Index mencapai skor 77%. Namun, terdapat area tertentu yang masih memerlukan perbaikan, Sistem Pendataan PMKS Anak Yatim-Piatu memiliki tingkat kesesuaian sebesar 98% dan nilai rata-rata kesenjangan (GAP) -0.06929. Prioritas perbaikan diarahkan pada kuadran I dan kuadran 3. Rekomendasi perbaikan dapat dilakukan dengan memprioritaskan indikator yang ditempatkan pada kuadran I dan III berdasarkan hasil analisis IPA. Dengan demikian, upaya perbaikan yang efektif dapat diarahkan untuk meningkatkan kualitas Sistem Pendataan PMKS Anak Yatim-Piatu sesuai dengan harapan pengguna. Kata kunci : anak yatim-piatu; analisis; Importance Performance Analisis (IPA); PMKS; WebQual

Forecasting Blood Demand Using the Support Vektor Regression Method (Case Study: Blood Transfusion Unit-PMI Central Lombok) Apriati, Yati; Murniati, Wafiah; Saikin, Saikin; Fadli, Sofiansyah; Fahmi, Hairul
JISA(Jurnal Informatika dan Sains) Vol 6, No 2 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i2.1780

Blood is an important component produced by the human body. Blood is also a very vital part of human survival. When blood levels in the human body are less than they should be, the way to overcome this is by donating blood or blood transfusion. The health facilities that organize blood donations, provide blood and distribute blood are called Blood Transfusion Units (UTD). UTD in carrying out its duties encountered several obstacles, such as blood only having a shelf life of 35 days from donation. If it has passed the expiration date, it cannot be used anymore for blood transfusions. Meanwhile, regarding the demand for blood, the need for blood is greater than those donating. Making it difficult for UTD if the demand occurs when the existing blood stock is not sufficient. And if the stock in UTD experiences an axcess, it can cause losses because the blood is wasted due to expiration. Apart form that. The problem is that in everyday life, many people’s need for blood is reduced. Many of their families intervened directly to find available donors. They even search on social networks or social media such as WhatsApp, Facebook, Instagram and others. And this shows that many of them lack donors. To anticipate these problems. So it is necessary to carry out research on forecasting blood demand using the Support Vektor Regression method at UTD PMI Central Lombok. The aim of this research is to forecast or predict the demand for blood at UTD PMI Central Lombok in the coming period. To reduce the impact of lack or excess blood. SVR is the application of Support Vektor Machine (SVM) in the case of regression to find the best dividing line in the regression function. The advantage of the SVR model is that it can handle overfiting problems in the data. The tests used to measure the best model are Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE) and Coefficient of Determination (R2). The results of this research shows that the best model is Support Vektor Regression (SVR) with a polynomial kernel and based on the tuning results, the parameters used are C=10, degree=1, epsilon=1. The SVR model using a polynomial kernel produces a MAPE value of 18.7502% and RMSE value of 0.6919, which means the model has very good predictive ability. Prediction accuracy was achieved with an R2 value of 0.9936 or 99.36% and an MSE value of 0.4787, which means that the prediction of blood demand data at UTD PMI Central Lombok using SVR with a polynomial kernel function had very good prediction accuracy. With predicted result in january for blood type A it was 1654, B was 920, O was 2205 and AB was 1104

Co-Authors Ahmad S. Pardiansyah Akbar, Jihadul Amrina Rosada, Amrina Apriati, Yati Ayu Lestari Cahyanti, Riska Indah Didik Sudyana Didik Sudyana Fadli, Sofiansyah Fahmi , Hairul Fahmi, Hairul Fauzi Zulkarnain, Mohammad Febrian, Melyana Firda Widia Gilang Restu Imam Wahyudi Haekal Fawaid Hairul Fahmi Handayani, Yudiana Tutik Hasyim Asyari Husnul Khotimah Ichwan Purwata ilahi, faidlul Indah Cahyanti, Riska Kartini, Ajeng Mastuti Kusrini Kusrini Lalu Mutawalli Lesteri, Widia Maemun Saleh Maulana Ashari Mohammad Taufan Asri Zaen Muliana, Muliana Musofa, Aolia Pirmansyah Pirmansyah Qubro, Baiq Ainurrahmi Imanda Riska Indah Cahyanti Saeful Hamdi Sari, Kadek Dwijayanti Komala Septiani, Ria Siti Halimatun Jannah Sofiansyah Fadli Suhaini Suhaini Tantoni, Ahmad Wafiah Murniati Wahyu Hadi, Wahyu Wire Bagye Yuan Sa'adati

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