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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
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STMIK Lombok
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

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Perancangan Alat Penangkap Gambar Pelaku Kejahatan Berbasis Node MCU ESP32 CAM Bagye, Wire; Purwata, Ichwan; Ashari, Maulana; Saikin, Saikin
Jambura Journal of Electrical and Electronics Engineering Vol 5, No 1 (2023): Januari - Juni 2023
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v5i1.16871

Abstract

Gambar merupakan salah satu alat bukti tindak kejahatan. Gambar dapat memberikan banyak informasi dianataranya tentang pelaku, jam kejadian, cara terjadi dan lainnya. Ada banyak alat yang telah dihasilkan dengan menggunakan Node MCU ESP32 CAM. Penggunaan ESP 32 CAM karena memiliki fitur kemampuan menangkap gambar dengan modul kamera yang telah terpasang. Penggunaan ESP 32 CAM banyak digunakan pada proyek Internet of Things (IoT) karena memiliki modul Wifi yang terpasang onboard. Pada proyek penangkap gambar yang mendeteksi manusia maka ESP 32 CAM membutuhkan modul tambahan sebuah Sensor PIR Motion. Ada banyak jenis sensor PIR Motion dengan jarak jangkau yang beragam dan waktu respon yang berbeda. Pada penelitin ini dilakuakan pengujian beberapa jenis sensor PIR Motion untuk mendapatkan data PIR Motian dengan jangkauan terjauh dan respon tercepat. Dikembangkan rancangan alat penangkap gambar berbasis ESP 32-CAM. Hasil penelitian menunjukkan bahwa sensor PIR Motion terbaik ialah seri HC-SR501 dan rancangan rangkaian alat penangkap gambar dapat bekerja pada ruang gelap dan memiliki sumber tegangan sendiri dari batrai yang dapat diisi ulang.Pictures are one of the evidence of a crime. Images can provide a lot of information including about the perpetrator, the time of the incident, how it happened and others. There are many tools that have been generated using the Node MCU ESP32 CAM. The use of ESP 32 CAM because it has the ability to capture images with a camera module that has been installed. The use of ESP 32 CAM is widely used in Internet Of Things (IoT) projects because it has a Wifi module installed onboard. In the project of capturing images that detect humans, the ESP 32 CAM requires an additional module, a PIR Motion Sensor. There are many types of PIR Motion sensors with varying ranges and different response times. In this study, several types of PIR Motion sensors were tested to obtain Motian PIR data with the farthest range and fastest response. ESP 32-CAM based image capture tool was developed. The results show that the best PIR Motion sensor is the HC-SR501 series and the design of the image capture device can work in a dark room and has its own voltage source from a rechargeable battery.
PENGABDIAN MASYARAKAT PEMULA PENINGKATAN PRODUKTIVITAS DAN PEMASARAN KELOMPOK UMKM PENGRAJIN PANDAN BERBASIS PLATFORM DIGITAL Fadli, Sofiansyah; Murniati, Wafiah; Saikin, Saikin; Pirmansyah, Pirmansyah; Musofa, Aolia
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 (2024): Vol. 5 No. 5 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i5.35018

Abstract

Pengabdian kepada masyarakat ini berfokus pada PMP Peningkatan Produktivitas dan Pemasaran Kelompok UMKM Pengrajin Pandan Berbasis Platform Digital yang bertujuan untuk mengatasi tantangan yang dihadapi oleh pengrajin pandan dalam meningkatkan produktivitas dan pemasaran produk mereka. UMKM pengrajin pandan sering kali terhambat oleh keterbatasan akses pasar. Oleh karena itu, pemilihan topik ini penting untuk memberdayakan pengrajin lokal agar lebih kompetitif dan berkelanjutan. Metode yang digunakan dalam pengabdian ini mencakup pelatihan penggunaan platform digital untuk pemasaran, pendampingan dalam proses produksi, serta pengembangan strategi pemasaran online. Aktivitas ini melibatkan workshop, bimbingan teknis, dan implementasi sistem digitalisasi. Hasil dari pengabdian ini menunjukkan peningkatan signifikan dalam produktivitas pengrajin pandan serta perbaikan dalam jangkauan pasar melalui platform digital. Pengrajin yang terlibat mengalami kenaikan dalam penjualan dan memperluas pangsa pasar mereka secara efektif. Hasil dari pengabdian ini menegaskan pentingnya adopsi teknologi digital untuk meningkatkan daya saing UMKM. Penggunaan platform digital tidak hanya meningkatkan efisiensi produksi tetapi juga memperluas peluang pemasaran, yang pada gilirannya dapat berkontribusi pada pertumbuhan ekonomi lokal dan kesejahteraan pengrajin.
SISTEM PENDUKUNG KEPUTUSAN EVALUASI KINERJA GURU MENGGUNAKAN METODE HYBRID RANK ORDER CENTROID DAN SIMPLE ADDITIVE WEIGHTING Muliana, Muliana; Saikin, Saikin; Fadli, Sofiansyah
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 4 (2024): Vol. 7 No. 4 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i4.34658

Abstract

Sistem pendukung keputusan diterapkan dalam penelitian ini yaitu sebagai system untuk melakukan rekomendasi dan untuk mengevaluasi kinerja guru di SDN ketangan,penggunaan metode Simple Additive Weighting (SAW) Rank Order Centroid (ROC) untuk mengoptimalkan kinerja guru.Tujuan dari penelitian ini adalah untuk mengembangkan system pendukung keputusan dengan menggunakan metode SAW dan ROC yang dapat memudahkan dalam evaluasi kinerja guru.Hasil penelitian ini menunjukkkan bahwa system ini secara signifikan meningkatkan efisiensi dalam proses evaluasi,Hasil pengujian memperoleh alternatif terbaik sebagai guru berprestasi adalah alternatif A4 yang menghasilkan nilai preferensi tertinngi sebesar 0,960 sebagai peringkat pertama.
Penerapan Algoritma BERT dalam Analisis Sentimen Opini Publik terhadap Destinasi Wisata dengan Metode CRISP-DM Saikin, Saikin; Zaen, Mohammad Taufan Asri; Fadli, Sofiansyah; Fahmi, Hairul
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4373

Abstract

Penelitian ini bertujuan untuk menganalisis opini publik terhadap destinasi wisata di Pulau Lombok menggunakan algoritma BERT (Bidirectional Encoder Representations from Transformers) dengan pendekatan metodologi CRISP-DM (Cross Industry Standard Process for Data Mining). Pulau Lombok dipilih sebagai studi kasus karena memiliki potensi pariwisata yang tinggi, namun pemanfaatan analisis sentimen berbasis pembelajaran mendalam terhadap ulasan wisatawan masih relatif terbatas. Data penelitian diperoleh dari platform Google Maps sebanyak 5.945 ulasan wisatawan, yang setelah melalui tahap pembersihan data (data cleaning) menghasilkan 4.972 data ulasan yang valid. Proses analisis mengikuti tahapan CRISP-DM hingga tahap evaluasi, meliputi pemahaman bisnis, pemahaman data, persiapan data, pemodelan, dan evaluasi. Model BERT dilatih melalui proses fine-tuning dengan penerapan weighted loss dan weighted random sampler untuk mengatasi permasalahan ketidakseimbangan kelas sentimen. Hasil evaluasi menunjukkan bahwa model mencapai akurasi sebesar 0,9209, Weighted F1-Score sebesar 0,9054, dan Macro F1-Score sebesar 0,6293. Kinerja terbaik diperoleh pada kelas sentimen positif dengan nilai F1-score sebesar 0,96, diikuti oleh kelas negatif dengan nilai 0,71, sementara kelas netral menunjukkan performa terendah dengan nilai F1-score sebesar 0,22. Temuan ini menunjukkan bahwa algoritma BERT efektif dalam mengklasifikasikan sentimen ulasan berbahasa Indonesia pada domain pariwisata, meskipun masih terdapat tantangan dalam menangani kelas minoritas. Penelitian ini berkontribusi secara akademik dalam pengembangan analisis sentimen berbasis transformer dan secara praktis memberikan wawasan bagi pemangku kepentingan dalam meningkatkan kualitas layanan serta strategi pengelolaan destinasi wisata di Pulau Lombok.
PENINGKATAN LITERASI DIGITAL MELALUI PELATIHAN MICROSOFT OFFICE UNTUK PENYUSUNAN KARYA TULIS ILMIAH SISWA SMA DI PONDOK PESANTREN NURUL MUBIN NW Lesteri, Widia; saikin, saikin
Jurnal Pekayunan Vol. 1 No. 7 (2025): PEKAYUNAN Juli 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/c3tw4d53

Abstract

Perkembangan teknologi menuntut siswa SMA untuk memiliki keterampilan literasi digital yang memadai, khususnya dalam penggunaan aplikasi produktivitas untuk keperluan akademik. Namun, siswa di lingkungan Pondok Pesantren Plus Nurul Mubin NW masih mengalami kendala dalam memanfaatkan Microsoft Office secara optimal untuk penyusunan Karya Tulis Ilmiah (KTI). Kegiatan pengabdian ini bertujuan untuk meningkatkan kompetensi siswa dalam pengoperasian Microsoft Word dan dasar-dasar penyusunan dokumen ilmiah. Metode pelaksanaan menggunakan pendekatan Participatory Learning yang terdiri dari tahap observasi, pelatihan (ceramah dan demonstrasi), pendampingan praktik, serta evaluasi melalui pre-test dan post-test. Kegiatan ini melibatkan 10 siswa kelas III SMA. Hasil kegiatan menunjukkan adanya peningkatan yang signifikan pada kemampuan teknis siswa. Berdasarkan analisis data, rata-rata nilai siswa meningkat dari 49,7 pada pre-test menjadi 67,5 pada post-test, dengan persentase kenaikan sebesar 35,8%. Siswa kini mampu mengatur format dokumen ilmiah, membuat daftar isi otomatis, dan menyusun sitasi sederhana. Disimpulkan bahwa pelatihan intensif dan terarah efektif menjembatani kesenjangan literasi digital di lingkungan pesantren.
Implementation of Data Mining on Tourist Visits Patterns on Lombok Island Tourism Objects Fadli, Sofiansyah; Saikin, Saikin; Ashari, Maulana
JISA(Jurnal Informatika dan Sains) Vol 5, No 1 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i1.1062

Abstract

Foreign tourists entering Indonesia in 2017 and 2018 have increased. From the data obtained on the website of the Ministry of Tourism (Kemenpar) the number of foreign tourists in 2017 was 14,039,799, while in 2018 there were 15,806.1, with a comparison of the number of tourists from the two years, the percentage increase in tourists was 12.58%. The data analysis approach using a classification model is a data analysis approach by studying the data and making predictions with the new data. in the classification model, there are many algorithms that can be applied in data analysis, one of which is the Decision Tree algorithm. This study aims to analyze the pattern of tourist visits based on the objects visited by the number of tourists visiting certain tourist objects. From the modeling using the Decesion Tree C4.5 Algorithm and the scenario of splitting the data into three parts, the highest accuracy value was obtained for splitting data of 80:20 for train and testing data and max depth 7, which obtained an accuracy of 94% for train data and 92% for data. testing. Modeling with the Boostrap Aggregating Method, the accuracy score obtained on training data is 93% and testing data is 92. percent. 3 accuracy results from using bagging reduce the accuracy of the C4.5 algorithm on the data training side from 94% to 93 percent, while the accuracy of testing data is still the same, namely 92%.
Application of the Simple Additive Weighting Method in the Decision Support System for Determining the Best Village Officials Qubro, Baiq Ainurrahmi Imanda; Saikin, Saikin; Fahmi, Hairul
JISA(Jurnal Informatika dan Sains) Vol 8, No 2 (2025): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v8i2.2555

Abstract

Performance evaluation of village officials in Bunut Baok Village is still carried out manually using assessment sheets, which often leads to subjectivity, unclear assessment aspects, and slow decision-making. These issues indicate the need for a Decision Support System (DSS) capable of providing objective and transparent evaluations based on measurable criteria. This study aims to develop a DSS using the Simple Additive Weighting (SAW) method to determine the best-performing village officials. Data were collected through observation and interviews with the Village Head and Village Secretary, involving 13 village officials as evaluation subjects. The dataset consists of five assessment criteria attendance, daily activity reports, output of activities, discipline, and service each represented through a linguistic scale (excellent, good, fairly good, poor) which was then converted into numerical weights for SAW processing. The results show that alternative A1 (Head of Gelogor Mapong Region) achieved the highest preference score of 0.938, indicating superior performance based on all evaluated criteria. The findings demonstrate that the SAW method effectively supports structured and transparent decision-making at the village governance level and can serve as a reference framework for future DSS implementations in local government environments.
The DeLone and McLean Model for Measuring Success Hospital Management Information System Case Study: Praya Regional Hospital Kartini, Ajeng Mastuti; Fadli, Sofiansyah; Fahmi, Hairul; saikin, saikin
JISA(Jurnal Informatika dan Sains) Vol 8, No 1 (2025): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v8i1.2203

Abstract

The advancement of information technology in the health sector encourages hospitals to implement Hospital Management Information Systems (SIMRS) to improve efficiency, effectiveness, and service quality. This study aims to measure the success rate of SIMRS implementation at Praya Regional Hospital using the DeLone and McLean model, which includes six variables: system quality, information quality, service quality, usage, user satisfaction, and net benefits. Data was collected through distributing questionnaires to 101 respondents in all service units of RSUD Praya. The analysis was conducted using the Structural Equation Modeling-Partial Least Square (SEM-PLS) method. The results showed that only three of the nine hypotheses proposed proved significant, namely the effect of user satisfaction on net benefits, service quality on usage, and usage on net benefits. These findings indicate that technical aspects and system services need to be improved to achieve optimal SIMRS implementation. This research contributes to the evaluation of hospital information systems and can serve as a reference in making future system development decisions.
The Effect of Online Adminduk Service Applications on the Number of Population Administration Applications ilahi, faidlul; saikin, saikin; ashari, maulana; fadli, sofiansyah
JISA(Jurnal Informatika dan Sains) Vol 8, No 1 (2025): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v8i1.2190

Abstract

This study aims to investigate the effect of using the population and civil registration office Online Service Application (SEMAIK) on the number of population administration (Adminduk) applications at the Population and Civil Registration Office (Disdukcapil) of Central Lombok Regency. The direct impact of the implementation of this application on the number of civil registration applications has not been widely studied empirically. Therefore, this research is important to determine the extent to which the use of the SEMAIK application has an effect on increasing applications for population administration services. The SEMAIK application, as an innovation of the Central Lombok Disdukcapil, is designed to make it easier for citizens to apply for civil registration documents online without the need to visit the Disdukcapil office directly. This research method uses the System Usability Scale (SUS) to assess the level of acceptance and satisfaction of application users. The study involved 48 respondents, resulting in an average SUS score of 73.9, which indicates that the application is in the “Acceptable” satisfaction category with a grade of C and a qualitative assessment between ‘Good’ to “Excellent”.”Data analysis shows that there is an increase in the number of Adminduk applications through the SEMAIK application during the 2021-2023 period, which is correlative with an increase in user satisfaction scores. This result confirms that the level of application acceptance is at a relatively good level. User satisfaction with the SEMAIK application has contributed to an increase in the number of Adminduk document submissions in Central Lombok Regency. This research provides important insights into the importance of usability in public service applications and its implications for the efficiency of population administration services.
Optimization of Support Vector Machine Method Using Feature Selection to Improve Classification Results Saikin, Saikin; Fadli, Sofiansyah; Ashari, Maulana
JISA(Jurnal Informatika dan Sains) Vol 4, No 1 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i1.881

Abstract

The performance of the organizations or companiesare based on the qualities possessed by their employee. Both of good or bad employee performance will have an impact on productivity and the impact of profits obtained by the company. Support Vector Machine (SVM) is a machine learning method based on statistical learning theory and can solve high non-linearity, regression, etc. In machine learning, the optimization model is a part for improving the accuracy of the model for data learning. Several techniques are used, one of which is feature selection, namely reducing data dimensions so that it can reduce computation in data modeling. This study aims to apply the method of machine learning to the employee data of the Bank Rakyat Indonesia (BRI) company. The method used is SVM method by increasing the accuracy of learning data by using a feature selection technique using a wrapper algorithm. From the results of the classification test, the average accuracy obtained is 72 percent with a precision value of 71 and the recall value is rounded off to 72 percent, with a combination of SVM and cross-validation. Data obtained from Kaggle data, which consists of training data and testing data. each consisting of 30 columns and 22005 rows in the training data and testing data consisting of 29 col-umns and 6000 rows. The results of this study get a classification score of 82 percent. The precision value obtained is rounded off to 82 percent, a recall of 86 percent and an f1-score of 81 percent.
Co-Authors Ahmad S. Pardiansyah Amrina Rosada, Amrina Apriati, Yati Ayu Lestari Cahyanti, Riska Indah Didik Sudyana Didik Sudyana Fadli, Sofiansyah Fahmi , Hairul Fahmi, Hairul Fauzi Zulkarnain, Mohammad Firda Widia Gilang Restu Imam Wahyudi Haekal Fawaid Hairul Fahmi Handayani, Yudiana Tutik Hasyim Asyari Husnul Khotimah Ichwan Purwata ilahi, faidlul Indah Cahyanti, Riska Jihadul Akbar Kartini, Ajeng Mastuti Kusrini Kusrini Lalu Mutawalli Lesteri, Widia Maemun Saleh Maulana Ashari Melyana Febrian 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