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All Journal Teknotan: Jurnal Industri Teknologi Pertanian Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Edu Komputika Journal Jurnal Teknologi dan Sistem Komputer International Journal of Artificial Intelligence Research Jurnal Elektronika dan Telekomunikasi JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal Abdi Insani Jurnal Bumigora Information Technology (BITe) Journal of Applied Data Sciences Journal of Community Development Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Bakti Sekawan : Jurnal Pengabdian Masyarakat Paradharma: Jurnal Aplikasi IPTEK Jurnal INFOTEL

Syahroni Hidayat

Universitas Negeri Semarang

Author-ID : 6420052

Religion Agriculture, Biological Sciences & Forestry 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 Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Other

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Sistem Pendeteksi Kerusakan Buah Mangga Menggunakan Sensor Gas Dengan Metode DCS - LCA Murad Murad; Sukmawaty Sukmawaty; Ansar Ansar; Rahmat Sabani; Syahroni Hidayat
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 4 (2022): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i4.169

Fruits, including mangoes, produce a wide variety of volatile organic compounds that give them their distinct aroma. Characteristics of fruit aroma is one of the important keys in determining consumer acceptance in the commercial fruit market based on individual preferences. So a possible way to determine the level of ripeness/damage is to feel the distinctive aroma presented by the fruit using a gas sensor. This study aims to build a system that can detect mango damage based on its aroma. The sensors used are TGS 2600, MQ3, MQ4, MQ2, and MQ8 which are connected to the Arduino Mega 2560. The learning model used is an ensemble learning model of Dynamic Classifier Selection (DCS) with Local Class Accuracy (LCA)/DCS-LCA. This algorithm combines Logistic Regression, Selection Tree, Support Vector Machine (SVM), Naïve Bayes, Random Forest, and Neural Networks. The model was then tested with a comparison of the amount of test data and training data of 70%:30%. The test results showed that the overall system Accuracy was 75% and the ability to detect mango fruit damage was 71%. The DCS-LCA classifier model outperforms each of its constituent base classifiers.

Speech Recognition Untuk Aplikasi Kamus Bahasa Indonesia-Sumbawa Berbasis Android Muhammad Muhammad; Syahroni Hidayat; Ahmad Zuli Amrullah
Jurnal Bumigora Information Technology (BITe) Vol 1 No 2 (2019)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

ABSTRAK Sumbawa sebagai salah satu daerah yang dianugrahi potensi wisata yang beragam menjadikan daya tarik masyarakat luar Sumbawa (wisatawan) untuk berkunjung, bekerja, maupun untuk belajar. Namun terkadang bahasa menjadi salah satu kendala yang dihadapi mayarakat luar Sumbawa jika ingin berinteraksi dengan masyarakat asli Sumbawa. Sehingga dibutuhkan sebuah instrument yang bisa digunakan sehingga perbedaan bahasa tidak menjadi kendala dalam berinteraksi yaitu kamus. Oleh karena itu, kamus yang disajikan haruslah sesuai dengan teknologi yang banyak diminati oleh masyarakat Indonesia pada umumnya yaitu smartphone Android dikarenakan fitur-fitur yang tersedia dalam smartphone tersebut. Salah satu fiturnya adalah speech recognition.Perancangan sistem ini dilakukan dengan metodologi waterfall yang terdiri dari proses analisis, desain, pengkodean, pengujian, dan terakhir pemeliharaan. Tools yang digunakan adalah Android Studio dan DB Browser for SQLite (DB4S). Metode pengujian menggunakan Black Box untuk uji fungsionalitas aplikasi dan Word Correct Rate (WCR) untuk menguji akurasi sistem dengan menggunakan 30 kata yang berbeda dan setiap kata diulang sebanyak 10 kali.Hasil yang sudah dicapai dalam penelitian ini adalah terciptanya aplikasi Kamus Bahasa Indonesia- Sumbawa Berbasis Android dengan memanfaatkan teknologi speech recognition.Kesimpulan dari penelitian ini adalah Uji fungsionalitas menunjukkan fitur-fitur aplikasi dapat bekerja dengan baik ketika offline maupun online. Sedangkan untuk uji coba akurasi sistem didapatkan hasil WCR secara berturut-turut sebesar 92.67% ketika offline dan 95.33% ketika online. ABSTRACT Sumbawa as one of the areas that is blessed with diverse tourism potential makes the appeal of people outside Sumbawa (tourists) to visit, work, or to study. But sometimes language becomes one of the obstacles faced by people outside Sumbawa if they want to interact with the native people of Sumbawa. So we need an instrument that can be used so that differences in language do not become obstacles in interacting with the dictionary. Therefore, the dictionary presented must be in accordance with the technology that is in great demand by the Indonesian people in general, namely Android smartphones because of the features available in these smartphones. One of the features is speech recognition. The design of this system is done by the waterfall methodology which consists of the process of analysis, design, coding, testing, and finally maintenance. The tools used are Android Studio and DB Browser for SQLite (DB4S). The testing method uses Black Box to test application functionality and Word Correct Rate (WCR) to test the accuracy of the system using 30 different words and each word is repeated 10 times. The results achieved in this study are the creation of an Indonesian-Sumbawa-based Dictionary application Android by utilizing speech recognition technology. The conclusion of this research is the functionality test shows that the application features can work well when offline or online. Whereas for testing the accuracy of the system the WCR results obtained were 92.67% when offline and 95.33% when online.

Determination of the Optimum Wavelet Basis Function for Indonesian Vowel Voice Recognition Syahroni Hidayat; Habib Ratu P. N.; Danang Tejo Kumoro
Jurnal Elektronika dan Telekomunikasi Vol 17, No 2 (2017)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.42-47

Nowadays, wavelet has been widely applied in extracting features of the signal for automatic speech recognition system. Wavelets have many families that are determined by their mother function and order. The use of different wavelets to analyze the same signal would bring different results. In many cases, a trial and error procedure is used to select the optimal wavelet family. That is because there are no particular wavelet basis functions that can be applied to the entire speech signals. Therefore, it is necessary to analyze the similarity between the speech signal and the wavelet base function. One of the methods that can be used is cross-correlation. In this study, the degree of correlation is determined between wavelet base function and Indonesian vowels. The influence of gender and consistencies of the results are also used in the analysis. The results show that db45 and db44 are most similar to male and female vowels utterance, respectively. For consistencies, only vowel e gives a consistent result. Overall, db44 is most similar to all Indonesian vowels utterance.

Ensemble Implementation for Predicting Student Graduation with Classification Algorithm Ria Rismayati; Ismarmiaty Ismarmiaty; Syahroni Hidayat
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 1 No 1 (2022): March 2022
Publisher : Universitas Bumigora Mataram-Lombok

Graduating on time at the higher education level is one of the main targets of every student and university institution. Many factors can affect a student's length of study, the different character of each student is also an internal factor that affects their study period. These characters are used in this study to classify data groups of students who graduated on time or not. Classification was chosen because it is able to find a model or pattern that can describe and distinguish classes in a dataset. This research method uses the esemble learning method which aims to see student graduation predictions using a dataset from Kaggle, the data used is a IPK dataset collected from a university in Indonesia which consists of 1687 records and 5 attributes where this dataset is not balanced. The intended target is whether the student is predicted to graduate on time or not. The method proposed in this study is Ensemble Learning Different Contribution Sampling (DCS) and the algorithms used include Logistic Regression, Decision Tree Classifier, Gaussian, Random Forest Classifier, Ada Bost Classifier, Support Vector Coefficient, KNeighbors Classifier and MLP Classifier. From each classification algorithm used, the test value and accuracy are calculated which are then compared between the algorithms. Based on the results of research that has been carried out, it is concluded that the best accuracy results are owned by the MLPClassifier algorithm with the ability to predict student graduation on time of 91.87%. The classification model provided by the DCS-LCA used does not give better results than the basic classifier of its constituent, namely the MLPClassifier algorithm of 91.87%, SVC of 91.64%, Logistic Regression of 91.46%, AdaBost Classifier of 90.87%, Random Forest Classifier of 90.45% , and KNN of 89.80%.

Peningkatan Kompetensi Penulisan Artikel Ilmiah Kepada Guru-Guru Di Wilayah Kabupaten Lombok Barat Jihadil Qudsi; Andi Sofyan Anas; Akbar Juliansyah; Adam Bachtiar Maulachela; Raden Fanny Printi Ardi; Syahroni Hidayat; Danang Tejo Kumoro; Uswatun Hasanah; Sandi Justitia Putra
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol 1 No 1 (2021): Juni
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

One of the consequences of teachers as functional positions is that teachers are required to carry out continuous professional development (CPD) so that teachers can carry out their duties and functions professionally. For this reason, teachers are required to have competency in researching and writing scientific papers in the form of books, modules and scientific articles. Writing scientific papers for teachers can serve as a reference / reference to increase insight or disseminate knowledge. This community service aims to equip teachers with scientific writing material, especially on scientific articles as well as provide assistance and consultation in writing scientific papers so that teachers are able to make scientific papers properly and correctly. The target of this service is partner schools from fellow institutes in West Lombok district, where the teachers who serve the school are expected to be able to produce a publication in a scientific paper.

Pelatihan Konten E-Commerce bagi Kelompok Kerajinan Bambu Dusun Dasan Bare untuk Menyongsong Era Digital Market Jian Budiarto; Syahroni Hidayat; Ahmad Ashril Rizal
Paradharma (Jurnal Aplikasi IPTEK) Vol. 3 No. 2 (2019): Paradharma (Jurnal Aplikasi IPTEK)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Dhyana Pura – Bali

Tujuan dilaksanakannya Program Kemitraan Masyarakat (PKM) Kelompok Kerajinan Bambu Dasan Bare adalah untuk meningkatkan kegiatan ekonomi di tempat tersebut. Semakin meningkatnya jumlah pengguna teknologi internet sebagai media informasi saat ini dapat menjadi peluang bagi penjual agar berbondong-bondong untuk melakukan penjualan secara online. Pada umumnya pengusaha UKM sudah mulai menerapkan e-commerce karena banyaknya manfaat yang diperoleh oleh pengusaha dari e-commerce. Meskipun demikian penerapan e-commerce juga memiliki hambatan. Faktor-faktor penghambat tersebut di antaranya sumber daya yang kurang mampu untuk bersaing dalam dunia teknologi, kurangnya informasi mengenai e-commerce, kebiasaan masyarakat Indonesia yang melihat dan merasakan secara langsung apa yang dibeli, keamanan transaksi dan lainnya. Oleh karena itu, sangat perlu dilakukan pelatihan penggunaan e-commerce bagi pengusaha UKM kerajinan agar dapat melakukan promosi penjualan yang lebih efektif dan efisien. Sehingga, permasalahan seperti peningkatan pengetahuan mengenai teknologi informasi oleh UKM, aplikasi website yang kurang menarik dan penyiapan konten (teks dan gambar) dapat diatasi. Metode pelaksanaan dari kegiatan PKM dilaksanakan melalui tahap persiapan, pelaksanaan pelatihan, penyajian materi, penugasan praktik, evaluasi dan editing konten e-commerce hingga refleksi dan penutupan program.Kata kunci: e-commerce, kerajinan bambu-rotan, LombokABSTRACTThe aim of Public Partnership Program for bamboo craftsman in Dasan Bare is to improve economic activity. Nowadays, online transactions to selling their product is increasing. Seller has been implement e-commerce to promote their product. Some factor to restrict implementation of e-commerce is the people don’t have enough information how to use e-commerce. So that, we propose to give training how to prepare content and using e-commerce application. This training using some effective methods such as preparing tools, preparing content, training application, practical task, evaluation and editing ecommerce virtual shop.Keywords: e-commerce, bamboo-rattan crafts, Lombok

EVALUASI SISTEM INFORMASI PENGGUNAAN E-LEARNING SEBAGAI SISTEM PERKULIAHAN PERGURUAN TINGGI Uswatun Hasanah; Syahroni Hidayat; Danang Tejo Kumoro
JURNAL INFOTEL Vol 12 No 4 (2020): November 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i4.475

This study aims to evaluate the use of technology to support teaching and learning activities. Lecturers and students have applied e-learning to teach subjects. The purpose of this evaluation is to measure the success of the use of STMIK Bumigora e-learning by using the Technology Acceptance Model (TAM) approach, which is an approach that can explain user behavior towards the use of technology. Evaluation of the use of e-learning is formulated into a model based on the TAM model, while SEM (Structural Equation Modelling) is used for data analysis. Based on the measurement analysis in this study, several factors most influenced the effectiveness of e-learning, namely the usage tutorial for users, ICT facilities related to the Ease of accessing the internet network. Meanwhile, in structural analysis, it was found that attitudes toward the use and perceived usefulness were strongly correlated with real use factors. The actual use is a real condition of the use of e-learning measured by the frequency and duration of time in using the technology, which is influenced by the user's belief in accepting the existence of e-learning in STMIK Bumigora and user beliefs related to the benefits when using it. Therefore, attitudes toward the use and perception of usefulness are the main determining factors in measuring the frequency and duration of e-learning use.

IMPLEMENTASI PERTANIAN CERDAS BERBASIS IOT PADA KELOMPOK TANI TEGER 02 DESA MANGUNSARI: Implementation of IoT-Based Smart Farming in the TEGER 02 Farmer Group in Mangunsari Village Anan Nugroho; Feddy Setio Pribadi; Mona Subagja; Syahroni Hidayat; Ahmad Zein Al Wafi; Muhammad Fathurrahman; Zidan Vieri Wijaya; Agus Ardiyanto; Haikal Abror
Jurnal Abdi Insani Vol 10 No 4 (2023): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v10i4.1267

Plantation is a very important sector to meet food needs in Indonesia. However, plantations in Indonesia do not always increase over time. There are still many plantation sectors whose productivity is still low, especially in rural areas. Factors such as lack of capital and technology, lack of market access, and social problems such as land conflicts often become obstacles to the development of a productive and sustainable plantation sector. One example of a farmer group experiencing problems in water distribution is the TEGER 02 farmer group in Mangunsari Village, Semarang City, Central Java. This group has 7 hectares of land and 20 workers. However, the biggest obstacle faced is ineffective water distribution, especially during the dry season. Currently, to water 3000 ð‘š2 of cultivated land, the group needs a full day involving 3 workers. Of course, the ratio between a few workers and a large area of land is inversely proportional, so it takes workers a long time to water the plantation land. To overcome this problem, a tool has been developed that can help farmers distribute water that utilizes strong internet access, the Internet of Things (IoT). IoT is very suitable to be applied to Mangunsari Village plantations. An IoT-based sprinkler that can help farmers in watering automatically which is connected to a website application so that it can be accessed directly using the farmer's smartphone. As an electricity supply, photovoltaics are used as an environmentally friendly energy source with a conservation perspective. The results of the service show that this activity makes it very easy for farmers to overcome watering problems which are difficult to control because the number of workers is not proportional to the size of the plantation land. However, adjustments to the website need to be made to produce an application that is more responsive when accessed via farmers' smartphones.

Optimalisasi Model Ensemble Learning dengan Augmentasi dan SMOTE pada Sistem Pendeteksi Kualitas Buah Hidayat, Syahroni; Achmadi, Taofan Ali; Ardhiansyah, Hanif; Hidayat, Hanif; Febriyanto, Rian; Abdulloh, Abdulloh; Ermawati, Intan
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 6 No 1 (2024): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i1.406

Fruit quality is an important factor in selecting fruit for consumption because it affects consumer health and satisfaction. Identification of fruit quality has become the focus of research, and one of the approaches used is a non-destructive approach through measuring the gases produced by the fruit. Machine learning can be used to process this gas data and build system models that can classify fruit quality. This research discusses the application of the DCS-OLA and Stacking dynamic ensemble learning algorithms to build a fruit quality detection system model. The basic methods used to build models are Logistic Regression, Decision Tree, Gaussian Naïve Bayes, and Mul-ti-Layer Perceptron. The fruit used is mango with a shelf life of 7 days and Srikaya (sugar apple) with a shelf life of 4 days. The condition of the initial dataset is unbalanced. The research results show that trimming the mango dataset to only 4 days according to the shelf life of sugar apple helps reduce the difference in shelf life between the two. Then jittering and balancing techniques are used to increase and balance the number of datasets between the two types of fruit. High accuracy is achieved by the DCS-OLA ensemble and stacking ensemble by combining the basic methods of Logistic Regression and Decision Tree, especially in balanced dataset conditions. In conclusion, the use of ensemble learning in detecting fruit quality has great potential for real-world applications. However, further validation is needed with larger datasets and a wider variety of conditions.

Design of Brushless DC Motor Driver Based on Bootstrap Circuit Fathoni, Khoirudin; Apriaskar, Esa; Salim, Nur Azis; Sulistyawan, Vera Noviana; Satria, Rifki Lukman; Hidayat, Syahroni
Jurnal Elektronika dan Telekomunikasi Vol 23, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.563

Brushless DC (BLDC) motor is a three-phase motor that cannot work directly with DC current but requires electronic commutation to replace the brush function in DC motor. This paper aims to implement BLDC motor driver integration based on bootstrap circuit using Autodesk Eagle. The driver board consist of bootstrap circuit based on IR2110, MOSFETs, three voltage regulator, ESP32 microcontroller and ACS712 current sensor connection, logic level converter, and BLDC hall effect signal sensor conditioning. The research proposes bootstrap capacitor calculation based on charging/discharging capacitor principle and the minimum motor speed rotation. The implemented driver has 14x10 cm dimension tested to drive 24V/135W/6000rpm sensored BLDC motor using six steps commutation with pulse width modulation (PWM) inserted programmatically in ESP 32 to drive the high side MOSFET of the driver without AND gate circuit. The effect of pwm frequency and dutycycle variation to the speed and current of the motor is investigated. The results showed that the driver with both 12 V and 24 V voltage source and 68 μF bootstrap capacitor work optimally in 20 KHz PWM frequency both in open loop and closed loop speed control test. The motor reach 129 W for the largest power and 5250 rpm for the fastest speed in 24 V supply.

Co-Authors Abdulloh Abdulloh Abdurahim, Abdurahim Achmadi, Taofan Ali Adam Bachtiar Maulachela Agung Budiwirawan Agus Ardiyanto Ahmad Zein Al Wafi Ahmad Zuli Amrullah Ahmat Adil Akbar Juliansyah Anan Nugroho Ananda, Briska Putra Andi Sofyan Anas Ansar Ansar Ardiansyah, Muhammad Irfan Baroroh, Luluk Taufiqul Budi Sunarko Danang Tejo Kumoro Danang Tejo Kumoro Dian Syafitri Chani Saputri Diyanasari, Ledi Ermawati, Intan Esa Apriaskar Febriyanto, Rian Feddy Setio Pribadi Fikri, Akmal Habib Ratu Perwira Negara Haikal Abror Hakiki, Muhammad Khikam Hanif Ardhiansyah Hidayat, Hanif Ismarmiaty Jian Budiarto Joko Sumarsono Khoirudin Fathoni, Khoirudin Kumoro, Danang Tejo Mona Subagja Muhammad Fathurrahman Muhammad Muhammad MUHAMMAD TAJUDDIN Muhammad, Naufal Murad Murad Murad, Murad Ni Luh Putu Merawati Nugroho, Anan Qudsi, Jihadil R Fanny Priniti Raden Fanny Printi Ardi Rahmat Sabani Rezky Ramdhaningsih Ria Rismayati Rina Rachmawati Risanuri Hidayat Rizal, Ahmad Ashril Salim, Nur Azis Sandi Justitia Putra Satria, Rifki Lukman Simanjuntak, Jhonatur Stheven Siti Agrippina Alodia Yusuf Subagja, Mona Sukmawaty Sukmawaty Sukmawaty Sukmawaty Sulistyawan, Vera Noviana Teguh Bharata Adji Uswatun Hasanah Uswatun Hasanah USWATUN HASANAH Wahyudi, Tri Agus Zaenal Abidin Zaurarista Dyarbirru Zidan Vieri Wijaya

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