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All Journal INOVTEK POLBENG Angkasa: Jurnal Ilmiah Bidang Teknologi STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Teknologi Informasi dan Terapan (J-TIT) Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Electrical Engineering and Computer (JEECOM) Journal of Community Development Food Scientia: Journal of Food Science and Technology Agro Tatanen Journal of Food Engineering Technologica Jurnal Akademik Pengabdian Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Electrical, Electronic, Mechanical, Informatic and Social Applied Science Jurnal Medika: Medika Jurnal ELTEK Modem : Jurnal Informatika dan Sains Teknologi The International Journal of Studies in Social Sciences and Humanities (IJOSSH)
Wulandari, Sholihah Ayu
Politeknik Negeri Jember
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Implementasi Sistem  Evaluasi Kinerja Dosen untuk Mendukung Peningkatan Kualitas Pembelajaran Sholihah Ayu Wulandari; Trismayanti Dwi Puspitasari; Aji Seto Arifianto; Nugroho Setyo Wibowo; Rifqi Aji Widarso
Jurnal Medika: Medika Vol. 5 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/vs965s30

Abstract

Lecturer performance evaluation is a crucial aspect in improving the quality of learning in higher education. However, current evaluation processes are often conducted generally and fail to accurately represent the performance of individual lecturers. To address this issue, a web-based lecturer performance evaluation system was developed at the Department of Information Technology, State Polytechnic of Jember. This system allows students to directly evaluate lecturers through a Likert-scale questionnaire covering three main aspects: pre-learning, learning implementation, and post-learning activities. The method used in this program includes system design, implementation, and trials involving both lecturers and students. The results show that the system facilitates a more transparent, efficient, and real-time evaluation process, generating accurate performance reports that support accreditation and internal quality assurance. Moreover, the system encourages two-way feedback between students and lecturers as a foundation for continuous improvement in the teaching process. Therefore, the implementation of this JTI Innovation is a strategic step toward building a culture of quality and transparency within higher education institutions.
Manajemen Kualitas Website Sistem Informasi Desa Berdasarkan Model FURPS Menggunakan Metode Euclidean Distance Dimas Aswito; Rica Rahmahidayatul; Rani Purbaningtyas; Sholihah Ayu Wulandari
Jurnal Teknologi Informasi dan Terapan Vol 11 No 1 (2024)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i1.348

Abstract

The importance of software testing is very prominent in the software development stage. Software testing is an important aspect that cannot be ignored to ensure the quality of an application. One example is testing dynamic web pages such as the one that will be the main focus of the research, namely the Ketapanrame Village Website. Testing of the Ketapanrame Village Website was carried out thoroughly on various aspects, including feature functionality and web appearance aesthetics, to ensure compliance with the specified specifications. In order to achieve satisfactory results from testing, there are feature elements on the web page that will be tested using the FURPS model standard. Each indicator from the FURPS model has a special role in ensuring the overall quality of the software by involving the participation of respondents to find the average value. The challenge arises in finding an appropriate average value for testing such web pages. To overcome this problem, this research is distributing questionnaires to find values from respondents and will calculate the average value using the Euclidean Distance method. This concept was chosen because it has been proven to provide optimal average values. The test results show that the combination of the FURPS model and the Euclidean Distance calculation method provides satisfactory results. Combination suitability is not easy to do, especially in the part of finding the average value which must involve many parties to achieve optimal results.
PENINGKATAN DAYA SAING PRODUK KERUPUK RAMBAK DI UD IKABA MELALUI PELATIHAN MODERNISASI TEKNOLOGI PRODUKSI Sholihah Ayu Wulandari; Adi Sucipto; Qonitatul Hasanah; Ahmad Haris Hasanuddin Slamet
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.37158

Abstract

Kegiatan pengabdian ini merupakan upaya peningkatan produksi kerupuk rambak di UD. IKABA. Pengabdian ini dilakukan dalam bentuk pelatihan penggunaan alat penggorengan yang telah dilengkapi sistem otomatisasi. Peserta dari pelatihan ini adalah pihak dari UD. IKABA yang meliputi pemilik dan beberapa karyawannya. Tujuan dari kegiatan pengabdian ini adalah untuk untuk meningkatkan pengetahuan serta keterampilan dari mitra untuk peningkatan produksi kerupuk rambak. Kegiatan pelatihan ini dilakukan melalui beberapa tahap dimulai dari tahap persiapan dan koordinasi dengan mitra, penyiapan dan perancangan teknologi produksi, pelatihan dan pendampingan penggunakan teknologi produksi, deseminasi alat penggorengan, dan monitoring dan evaluasi. Berdasarkan hasil pelatihan peserta telah mampu memahami dan mempraktikan penerapan teknologi otomatisasi penggorengan kerupuk rambak. Melalui pelatihan ini, diharapkan dapat mengoptimalkan produksi rambak di UD. IKABA dalam memenuhi permintaan konsumen akan produk rambak.
Implementasi Teknologi Produksi dan Digitalisasi Pemasaran Dalam Upaya Meningkatkan Daya Saing Produk Krupuk Rambak Sapi Pada Studi Kasus UMKM UD. IKABA di Pasar Global Sholihah Ayu Wulandari; Qonitatul Hasanah; Adi Sucipto; Ahmad Fahriyannur Rosyady; Asmunir Asmunir
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1511

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in boosting Indonesia’s GDP, contributing 61.97%. In addition to generating employment, MSMEs promote economic equity and support national growth. Mojokerto Regency, with 474,346 MSME units contributing IDR 63.498 trillion to the GDP, demonstrates significant potential. However, many MSMEs in this region struggle with low competitiveness. This community engagement program focuses on empowering MSMEs in the food processing sector, particularly the production of kerupuk rambak (fried cowhide crackers) at UD. IKABA. Key challenges identified include limited technology, such as using a modified washing machine to remove excess oil, as well as conventional marketing methods and unappealing packaging. The intervention involved introducing an automatic oil spinner and providing digital marketing training, including the development of a website application for online orders and promotion. The results show improved production efficiency, with processing time reduced by 25%, production capacity increased by 50%, and higher product quality in terms of hygiene and shelf life. Digital marketing also expanded the market reach from local to national levels, resulting in a 70% increase in sales. The implementation of production technology and digital marketing has proven effective in enhancing MSME competitiveness, contributing to both local and national economic growth.
Design of a Naive Bayes–Based Adaptive Modulation Model in a Time-Varying Channel Environment Rosabella Ika Yuanita; Sholihah Ayu Wulandari; Taufiq Rahman Humaidi
Jurnal Teknologi Informasi dan Terapan Vol 13 No 1 (2026): June
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v13i1.477

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) systems require an effective modulation adaptation mechanism to maintain transmission reliability over dynamic and noise-affected channels. This study proposes a machine learning–based adaptive modulation method using Naive Bayes classification to select the most appropriate modulation scheme—BPSK, QPSK, or 16-QAM—based on Signal-to-Noise Ratio (SNR) values. The Naive Bayes model is trained using the probabilistic performance distributions of each modulation scheme, enabling optimal modulation mode prediction under various channel conditions. Simulation results demonstrate that the proposed adaptive method achieves a lower Bit Error Rate (BER) compared to fixed modulation schemes, particularly under low to medium SNR conditions. Furthermore, the Naive Bayes–based approach exhibits more stable performance, especially in recovering transmitted messages. BER curves and demodulated message results indicate that the artificial intelligence–based adaptive scheme using Naive Bayes improves the reliability of transmitting the text message “HELLO WORLD” across an SNR range of –5 dB to 15 dB. These findings confirm that integrating intelligent methods into adaptive OFDM modulation provides an effective solution for wireless communication in fluctuating channel environments.
Implementasi Sistem Informasi GKM untuk Mendukung Digitalisasi Pengelolaan Mutu Program Studi: Pengabdian Sholihah Ayu Wulandari; Hendra Yuvit Riskiawan; Trismayanti Dwi Puspitasari; Dhony Manggala Putra; Rifqi Aji Widarso
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 5 No. 1 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 5 Nomor 1 (Juli 2026 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v5i1.7150

Abstract

Pengelolaan data mutu pada Gugus Kendali Mutu (GKM) Program Studi Teknik Informatika PSDKU Sidoarjo, Politeknik Negeri Jember masih menghadapi berbagai kendala, seperti penyimpanan dokumen yang tersebar, proses rekapitulasi data yang dilakukan secara manual, serta kesulitan dalam penelusuran data untuk kebutuhan Audit Mutu Internal (AMI) dan akreditasi. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengimplementasikan Sistem Informasi Gugus Kendali Mutu (SI GKM) berbasis web sebagai solusi digital dalam mendukung pengelolaan data mutu yang terintegrasi. Metode yang digunakan meliputi analisis kebutuhan mitra, pengembangan sistem, pelatihan dan pendampingan pengguna, implementasi sistem, serta evaluasi melalui observasi, wawancara, dokumentasi, dan kuesioner. Mitra kegiatan terdiri atas tim GKM dan dosen tetap Program Studi Teknik Informatika (Kampus Kab. Sidoarjo) Politeknik Negeri Jember. Hasil kegiatan menunjukkan bahwa SI GKM berhasil diimplementasikan dan digunakan oleh mitra untuk mengelola data mutu secara terpusat. Sistem ini memfasilitasi penginputan data oleh dosen secara mandiri serta memungkinkan monitoring dan rekapitulasi data secara real-time oleh GKM. Evaluasi terhadap enam peserta menunjukkan bahwa 100% peserta menyatakan sistem bermanfaat bagi program studi, 83% menyatakan sistem sangat mudah digunakan, dan 100% merekomendasikan penerapan sistem secara berkelanjutan. Implementasi SI GKM memberikan dampak positif terhadap efisiensi pengelolaan dokumen mutu, keterlacakan data, dan dukungan terhadap pelaksanaan Sistem Penjaminan Mutu Internal (SPMI). Oleh karena itu, sistem ini berpotensi untuk dikembangkan dan diterapkan secara lebih luas pada program studi lainnya di lingkungan Politeknik Negeri Jember.
PEMETAAN KOMODITAS HORTIKULTURA UNGGULAN DI KABUPATEN SIDOARJO MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS BERBASIS WEB Ahmad Haris Hasanuddin Slamet; Amelia Dwi Nugrahaini; Sholihah Ayu Wulandari; Agustia Dwi Pamujiati
AGRO TATANEN | Jurnal Ilmiah Pertanian Vol. 8 No. 2 (2026): AGRO TATANEN Edisi Juli 2026 | Jurnal Ilmiah Pertanian
Publisher : Program Studi Agroteknologi Faperta UNIBBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55222/3qb3yh80

Abstract

Pengembangan komoditas hortikultura unggulan merupakan salah satu strategi penting dalam mendukung pembangunan pertanian daerah berbasis potensi wilayah. Kabupaten Sidoarjo memiliki keragaman komoditas hortikultura dengan tingkat produksi yang berbeda antar kecamatan, sehingga diperlukan identifikasi komoditas unggulan yang didukung oleh informasi spasial yang komprehensif. Penelitian ini bertujuan untuk memetakan komoditas hortikultura unggulan di Kabupaten Sidoarjo pada tingkat kecamatan menggunakan metode Location Quotient (LQ) yang diintegrasikan ke dalam Sistem Informasi Geografis (SIG) berbasis web. Data yang digunakan berupa data produksi tanaman hortikultura periode 2021–2024 yang diperoleh dari Badan Pusat Statistik Kabupaten Sidoarjo. Analisis LQ digunakan untuk menentukan komoditas basis dan non-basis, sedangkan hasil analisis divisualisasikan dalam bentuk peta tematik, tabel, dan grafik interaktif melalui pengembangan WebGIS menggunakan HTML, CSS, dan JavaScript. Hasil penelitian menunjukkan bahwa komoditas bawang merah dan melon merupakan komoditas hortikultura unggulan dengan jumlah kecamatan basis terbanyak, sedangkan bayam, sawi, dan kangkung memiliki persebaran produksi yang relatif lebih merata sehingga jumlah daerah basisnya lebih sedikit. Penerapan SIG berbasis web mampu menyajikan informasi spasial secara lebih jelas dan mudah dipahami dibandingkan penyajian data numerik semata. Sistem yang dikembangkan diharapkan dapat menjadi media informasi dan pendukung pengambilan keputusan bagi pemerintah daerah, pelaku agribisnis, dan masyarakat dalam perencanaan pengembangan komoditas hortikultura unggulan yang berkelanjutan di Kabupaten Sidoarjo.
Fuzzy Sugeno Model for SNR-Based Adaptive Modulation in Underwater Acoustic Communication Sholihah Ayu Wulandari; Ahmad Haris Hasanuddin Slamet
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.466

Abstract

Underwater communication faces significant challenges due to the dynamic characteristics of the channel and is strongly influenced by the physicochemical parameters of the water. This study proposes channel quality modeling using the Sugeno Fuzzy Inference System (FIS) with input variables of temperature, salinity, dissolved oxygen (DO), and turbidity. The system produces a Signal-to-Noise Ratio (SNR) output that is used as a basis for channel quality mapping, Bit Error Rate (BER) estimation, and the selection of adaptive modulation techniques (BPSK, QPSK, or 16QAM). Simulation results show that the Sugeno fuzzy model is able to follow the theoretical pattern well, where increasing temperature, salinity, and turbidity decrease the SNR value, while DO plays a role in maintaining channel stability. Based on the test results, at high SNR (≥ 15 dB) the system recommends 16QAM, at medium SNR (11–15 dB) QPSK, and at low SNR (≤ 10 dB) BPSK. This approach has proven effective in suppressing BER and increasing the reliability of underwater acoustic communications in fluctuating mangrove water environments.
Co-Authors Adi Sucipto Adi Sucipto, Adi Afifudin, Muhammad Agustia Dwi Pamujiati Ahmad Affandi Ahmad Fahriyannur Rosyady Ahmad Fahriyannur Rosyady Ahmad Fahriyannur Rosyady, Ahmad Fahriyannur Ahmad Haris Hasanuddin Slamet Ahnaf, Ahnaf Aji Seto Arifianto Akmal, Marzuki Al ghifari, Mohammad Ghazi Albaab, Mochammad Rifki Ulil Aldiansyah, Agitha Rizky Amelia Dwi Nugrahaini Ardana, Mohammad Dwiky Riza Asmiranti Asmiranti Asmunir Asysyauqi, Haris Baihaqi, Ahmad Bima Prayoga Boby Dwi Januarta Cahyono, Octavian Dava Putra Denny Trias Utomo, Denny Trias Dhony Manggala Putra Dhony Manggala Putra Diaz Ellyas Fenca Putra, Muhammad Dimas Aswito Dimas Aswito Dina Dwi Arika Dinda Amalia Julyandri Dwiky Riza Ardana, Mohammad Dyiono, Dyiono Fadilah, Fitri Dwi Fatkhur Rozak Fatkhur Rozak Hendra Yuvit Riskiawan Humaidi, Taufiq Rahman I Gede Puja Astawa Jessica Desi Imelda Johan Krisbima Abi Kholid Fauzi Khomarudin, Agus Nur Laila, Abhinaya Fahar Lazuardi, Mochammad Enrique Lukman Lukman Mochammad Enrique Lazuardi Ramadany Mochammad Rifki Ulil Albaab Mochammad Rifki Ulil Albaab Muhamad Milchan Muqid, Muhammad Abdul Nabila Rahma Yusrilfa Trisyayanti Nensyah Permadani Nugroho Setyo Wibowo Nugroho, Daffa Agung Pangestu , Ageng Puji Prasetya, Fachry Rizky Prayoga , Bima Purbaningtyas , Rani Purbaningtyas, Rani Puspitasari, Trismayanti Dwi Putera Maulana, Wahyu Putra Rismawan, Dimas Bayu Putra, Erlangga Lesmana Qonitatul Hasanah Rahmat Dhandy Rani Purbaningtyas Rani Purbaningtyas, Rani Rica Rahmahidayatul Rifqi Aji Widarso Rifqi Aji Widarso Rizky, Mochammad Lury Choirul Rosabella Ika Yuanita Salsabila At Thohir, Sasqia Sekar Ayu Wulandari Thohir, Sasqia Salsabila At Tri Budi Santoso Ulla, Lya Nurul Utomo, Agus Priyo