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All Journal Jupiter Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal SOLMA Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL TEKNOLOGI DAN OPEN SOURCE JURIKOM (Jurnal Riset Komputer) Adimas : Jurnal Pengabdian Kepada Masyarakat Jurnal E-Komtek JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Masyarakat Indonesia IJCOSIN : Indonesian Journal of Community Service and Innovation IJCOSIN : Indonesian Journal of Community Service and Innovation
Sena Wijayanto
Telkom University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Sistem Pendukung Keputusan Untuk Seleksi Jabatan Dengan Menggunakan Metode Topsis (Studi Kasus: Kantor Camat Lais) Darmansah Darmansah; Sandhy Fernandez; Ike Kurnia Putri; M. Yoka Fathoni; Sena Wijayanto
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i3.2534

Abstract

Along with the development of computers and technology, the business world is becoming increasingly competitive. One of the most important things that must be anticipated by the company/organization is a reliable and qualified workforce in each position. Currently, the selection process for determining answers in the Lais sub-district is still going on manually and has not used information technology, thus making it difficult for the sub-district government to position staff according to the area of ​​expertise possessed by each sub-district employee. From these problems it is necessary to make a decision support system to facilitate the sub-district in conducting the selection process for determining employee positions. In making this decision support system the author uses the TOPSIS method. The results of this study resulted in a computerized decision support system based on a website and for the application of the Topsis method, it was found that alternative 1 was identified as the best alternative compared to other alternatives with a value of 0.661180544.
Penerapan Metode Weighted Product Dalam Penentuan Penerimaan Bantuan Ternak Ayam Sena Wijayanto; Monsya Juansen; Sandhy Fernandez; M Yoka Fathoni
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.908 KB) | DOI: 10.47065/josh.v3i4.1852

Abstract

One of the problems experienced by many countries, especially developing countries and a concern is poverty. This matter must be immediately addressed by the government so that it is necessary to find a way out so that people's lives will be better. One of the solutions that the government has taken is to provide assistance, for example the assistance of chickens. However, the provision of assistance is still uneven, one of which is due to errors during the data assessment process for prospective beneficiaries. Therefore it is necessary to make a Decision Support System (DSS). DSS built web-based using the incremental model for system development. the method implemented in the DSS to determine the recipient of chicken livestock assistance is the weighted product. From the results of the study, it was found that the prospective recipient of chicken livestock assistance who had the greatest preference weight was obtained by Pornomo Sidi, which was 0.1390. In addition, the system created is very attractive and can display a list of potential recipients of chicken livestock assistance effectively and efficiently.
Peramalan Jumlah Produksi Tebu Menggunakan Metode Time Series Model Moving Averages Nabila Azahra; Salsabila Cahya Alifia; Nevandra Putra Andyka; Sena Wijayanto; M Yoka Fathoni
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4388

Abstract

Plantation is all activities that use certain and specific plants with soil or other parts of plants in adapted ecosystems. Other plantation activities also include processing and marketing of these crops. In the plantation sub-sector, sugar cane is an important plantation and national economic development strategy and contributes significantly to the plantation sub-sector. Sugarcane is a plantation crop that is widely grown in Indonesia, such as in Java, North and South Sumatra. One of the sugarcane producing areas in Purworejo Regency is Loano District. There are many sugar factories scattered throughout the sugar cane development area and the leading sugarcane plants are in Purworejo Regency. The purpose of this research is to predict production to meet market demand using the Time Series method with the Moving Average model. This study uses a Moving Average model consisting of: Single Moving Average (SMA) and Weighted Moving Average (WMA) with forecasting accuracy using Mean Square Error (MSE) and Mean Absolute Error (MAE) as the selection of the best model to be used for forecasting. From this study, the results of forecasting the amount of sugarcane production in Loano District for the next 4 periods, after 2015 from the WMA model, are: 113,91 ton; 135,62 ton; 101,96 ton; and 89,88 ton. The best model result is the Weighted Moving Average (WMA) model with the smallest forecasting accuracy value, namely the MSE value of 1.833,07 and the MAE of 36,07.
Peningkatan Kapasitas Pokdarwis Pada Tata Kelola Desa Wisata Kampung Tudung Di Desa Grujugan Kecamatan Petanahan Kabupaten Kebumen Halim Qista Karima; Novanda Alim Setya Nugraha; Siti Khomsah; Sena Wijayanto
Indonesian Journal of Community Service and Innovation (IJCOSIN) Vol 3 No 1 (2023): Januari 2023
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v3i1.943

Abstract

Desa wisata merupakan inovasi dalam pengembangan pariwisata di Indonesia, salah satunya desa wisata Kampung Tudung di Desa Grujugan Kecamatan Petanahan Kabupaten Kebumen Provinsi Jawa Tengah. Desa wisata Kampung Tudung diharapkan mampu meningkatkan perekonomian Desa Grujugan. Kampung Tudung dikelola oleh kelompok sadar wisata (Pokdarwis) Pringgondani. Saat ini desa wisata Kampung Tudung belum mempunyai tata kelola yang baik. Permasalahan penting yang dihadapi yaitu pemenuhan dokumen dan syarat-syarat pengajuan surat keputusan resmi sebagai desa wisata. Surat tersebut bisa didapat dengan mengajukan reviu ke pemerintah daerah Kabupaten Kebumen. Pengabdian masyarakat ini bertujuan meningkatkan kapasitas Pokdarwis Pringgondani dalam tata kelola desa wisata Kampung Tudung. Metode pengabdian berupa pelatihan dan pendampingan. Tahapan pelaksanaan meliputi observasi, persiapan, implementasi dan evaluasi. Kegiatan pengabdian ini dapat meningkatkan kapasitas Pokdarwis dibuktikan dengan dihasilkannya dokumen borang self assessment untuk pengajuan surat keputusan desa wisata. Dari self assessment tersebut, Pokdarwis dapat memprediksi skor kategori desa wisata Kampung Tudung, yaitu 80 poin atau masuk kategori desa wisata maju. Kegiatan ini mampu meningkatkan pemahaman dan keterampilan Pokdarwis Pringgondani dalam mengelola desa wisata sebesar rata – rata 17,97%.
Edukasi Sistem Pendukung Keputusan Sekolah Menengah Kejuruan Telkom Purwokerto M. Yoka Fathoni; Sandhy Fernandez; Sena Wijayanto; Toni Anwar; Muhamad Awiet Wiedanto Prasetyo
Jurnal Pengabdian Masyarakat Indonesia Vol 3 No 5 (2023): JPMI - Oktober 2023
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.1486

Abstract

Teknologi saat ini memiliki peran penting sebagai penentu keputusan maupun pendukung keputusan, hal ini dapat diimplementasikan Bidang Pendidikan. Kegiatan OSIS guna meningkatkan pengalaman jiwa kepemimpinan, kersama tim yang solid dan diakhir tahun ajaran pembelajaran pengurus OSIS SMK Telkom memberikan apresiasi bagi anggota terbaiknya. Saat mekanisme pemilihan menggunakan cara mengumpulkan poin yang didapatkan akan tetapi masih belum menerapkan teori sistem pendukung keputusan. Kegiatan pengabdian menggunakan teknik ceramah teori dasar sistem pendukung keputusan dan pendampingan menggunakan algoritma sistem pendukung keputusan. Hasil kegiatan ini guna meningkatkan pengetahuan sistem pendukung keputusan untuk diimplementasikan lingkungan sekolah dan bisa memberikan rekomendasi alternatif keputusan. Dampak positif para siswa mengetahui teori-teori sistem pendukung keputusan, algoritma hingga perhitungan algoritma sistem pendukung keputusan. Pemahaman ilmu sistem pendukung keputusan dengan tiga kategori menghasilkan nilai rata-rata sembilan.
Penerapan Internet of Things (IoT) dalam Budidaya Hidroponik Melon Mencapai Kualitas Ekspor Melalui Nutrisi Optimal Sena Wijayanto; Toni Anwar; Mahazam Afrad; Fikra Titan Syifa; Baroatuz Zukhruf Al Jatsiyah; Namira Shifwah Kumandani; Muhammad Asbi Ramadhan; Veronica Pinkan Rosari
Indonesian Journal of Community Service and Innovation Vol. 5 No. 2 (2025): Agustus 2025
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v5i2.9381

Abstract

Budidaya melon hidroponik masih menghadapi kendala distribusi nutrisi yang tidak merata serta ketergantungan pada pasokan listrik, sehingga memengaruhi kualitas panen. Program pengabdian masyarakat ini bertujuan meningkatkan kualitas budidaya melon hidroponik Kelompok Wanita Tani (KWT) Bina Lestari di Desa Kaliurip, Banyumas, agar mampu memenuhi standar ekspor melalui penerapan teknologi Internet of Things (IoT). Metode kegiatan meliputi penyuluhan, instalasi sistem berbasis mikrokontroler Espressif 32 dengan sensor Total Dissolved Solids (TDS), serta pelatihan langsung kepada 23 anggota KWT. Sistem dirancang dengan dukungan catu daya cadangan dan panel surya untuk mengatasi risiko pemadaman listrik. Evaluasi dilaksanakan melalui observasi lapangan, pengujian sistem, dan kuesioner peserta. Hasil menunjukkan peningkatan signifikan dalam pemahaman dan keterampilan anggota KWT. Selain itu, instalasi berhasil diterapkan pada dua greenhouse, yang mendukung distribusi nutrisi lebih stabil dan pertumbuhan tanaman lebih seragam. Temuan ini membuktikan bahwa penerapan IoT dapat mengurangi kendala teknis, meningkatkan efisiensi pemanfaatan sumber daya, serta memperkuat peluang pasar produk melon hidroponik dengan mutu ekspor.
Implementasi IoT dan Teknologi Cerdas dalam Pengendalian Suhu dan Kelembaban Budidaya Jamur Tiram Toni Anwar; Sena Wijayanto; Mahazam Afrad; Fikra Titan Syifa; Tanzil Aziim; Rachel Nathasia Dewi; Akmal Zain Musyaffa; Ghifara Fawazia; Seachhing Chhoun; Clearesta Rachel Indah
Indonesian Journal of Community Service and Innovation Vol. 5 No. 2 (2025): Agustus 2025
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v5i2.9488

Abstract

Produktivitas budidaya jamur tiram sangat dipengaruhi oleh kestabilan suhu dan kelembapan. Di dataran rendah, fluktuasi iklim menjadi tantangan yang berdampak pada kualitas dan kuantitas panen. Kegiatan pengabdian ini bertujuan mengimplementasikan sistem pengendalian iklim berbasis Internet of Things (IoT) untuk memantau dan mengatur suhu serta kelembapan secara otomatis dan real-time. Sistem terdiri dari sensor suhu dan kelembapan, aktuator (humidifier dan kipas), serta platform monitoring berbasis web dan aplikasi. Kegiatan dilaksanakan melalui survei kebutuhan mitra, desain dan instalasi sistem, pelatihan petani, serta evaluasi fungsionalitas. Hasil implementasi menunjukkan sistem mampu menjaga suhu 26–28°C dan kelembapan 80–85%, sesuai dengan kondisi optimal pertumbuhan jamur tiram. Petani mitra mampu mengoperasikan sistem secara mandiri dan memberikan umpan balik positif. Selain meningkatkan efisiensi dan hasil produksi, sistem ini juga memperkuat literasi teknologi petani dan membuka potensi pengembangan ke sektor pertanian lain. Dengan demikian, sistem pengendalian iklim berbasis IoT terbukti menjadi solusi inovatif dalam mendukung praktik pertanian cerdas yang adaptif dan berkelanjutan.
Hybrid Model of Isolation Forest and Long Short-Term Memory Autoencoder for Digital Forensic Anomaly Detection in Manufacturing IoT Networks Muammar; Sandhy Fernandez; Arif Riyandi; Sena Wijayanto
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 1 (2026): Jurnal Teknologi dan Open Source, June 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i1.5732

Abstract

The development of Internet of Things (IoT) technology in the manufacturing sector creates opportunities for efficiency while also increasing vulnerability to sabotage threats that are difficult to detect manually. This study aims to design and evaluate an artificial intelligence-based hybrid model that combines Isolation Forest and Long Short-Term Memory Autoencoder to detect anomalies in the context of digital forensics in manufacturing industrial IoT networks. The research design uses an experimental approach with a simulated dataset representing 35 working days of smart factory operations, covering 127 sabotage scenarios distributed across six types of logs. The methodology applied is a two-layer cascade architecture, where Isolation Forest serves as a statistical anomaly detector in the first layer, followed by Long Short-Term Memory Autoencoder as a time-series pattern validator in the second layer. The evaluation results show that Isolation Forest independently achieved an F1-score of 0.84, Long Short-Term Memory Autoencoder achieved 0.87, while the hybrid model produced an F1-score of 0.93 with a precision of 0.91 and a recall of 0.95. These findings confirm that the hybrid cascade approach significantly outperforms each individual method. This study concludes that the integration of both methods provides a more accurate and efficient digital forensic solution for detecting sabotage incidents in industrial IoT environments.
Co-Authors Akmal Zain Musyaffa Arif Riyandi Arijal Bela Praja Baroatuz Zukhruf Al Jatsiyah Clearesta Rachel Indah Dairoh Dairoh Dairoh Dairoh, Dairoh Darmansah Dega Surono Wibowo Dega Surono Wibowo, Dega Surono Fikra Titan Syifa Fikra Titan Syifa Ghifara Fawazia Ginanjar Wiro Sasmito Ike Kurnia Putri Karima, Halim Qista La Ode Mohamad Zulfiqar M Yoka Fathoni Made Risza Kartika Mahazam Afrad Monsya Juansen Muammar Muhamad Awiet Wiedanto Prasetyo Muhammad Asbi Ramadhan Muhammad Fikri Hidayattullah Nabila Azahra Namira Shifwah Kumandani Nevandra Putra Andyka Novanda Alim Setya Nugraha Oman Somantri Rachel Nathasia Dewi Ramadhani, Rima Dias Salsabila Cahya Alifia Sandhy Fernandez Seachhing Chhoun Siti Khomsah, Siti Tanzil Aziim Taufiq Abidin Taufiq Abidin Taufiq Abidin, Taufiq Toni Anwar Veronica Pinkan Rosari Yogo Dwi Prasetyo Yustia Hapsari