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Efisiensi Energi Distilasi Uap Minyak Serai Wangi Berbasis IoT dan Fuzzy Logic Raihan Putri; Ezwarsyah Ezwarsyah; Maryana Maryana; Trisna Trisna
JET (Journal of Electrical Technology) Vol 11, No 3 (2026): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i3.14418

Abstract

Proses distilasi uap minyak serai wangi secara konvensional sering mengalami pemborosan energi dan fluktuasi suhu yang berpotensi menurunkan kualitas produk. Penelitian ini bertujuan mengembangkan sistem kendali otomatis dan pemantauan berbasis Internet of Things (IoT) untuk mengoptimalkan efisiensi energi serta menjaga kualitas produk minyak serai wangi. Sistem mengintegrasikan algoritma Fuzzy Logic dua variabel input independen, yaitu temperatur boiler (Tb) untuk mengendalikan heater dan temperatur kondensor (Tk) untuk mengendalikan pompa pendingin, serta platform IoT untuk pemantauan real-time. Pengujian dilakukan selama 120 menit menggunakan 2 kg serai segar dengan membandingkan kinerja sistem berkendali dan tanpa kendali pada kondisi awal yang setara. Hasil penelitian menunjukkan bahwa penerapan Fuzzy Logic mampu menjaga kestabilan operasional pada temperatur boiler 114℃ dan tekanan 78 kPa. Sistem berkendali berhasil menekan konsumsi energi dari 1,82 kWh menjadi 1,50 kWh, atau menghemat energi sebesar 17,6% (0,32 kWh). Selain itu, penghematan energi tidak mengorbankan kualitas produk, ditunjukkan oleh peningkatan rendemen minyak (0,63% vs 0,54%) dan kadar sitral (35% vs 25%) dibandingkan sistem tanpa kendali. Validasi sensor temperatur dan tekanan menunjukkan deviasi rata-rata masing-masing sebesar 4,04℃ (5,6%) dan 1,28 kPa (2,9%). Penelitian ini membuktikan bahwa integrasi Fuzzy Logic dan IoT efektif meningkatkan efisiensi energi sekaligus mempertahankan mutu hasil distilasi uap serai wangi.
Implementation of Support Vector Machine Method with TF-IDF for Sentiment Analysis of the Al-Zaytun Islamic Boarding School Controversy T. Fardiansyah; Zara Yunizar; Maryana Maryana
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.883

Abstract

Al-Zaytun Islamic Boarding School in Indramayu, West Java, has attracted public attention on social media. The previous Eid prayer went viral because men and women stood in the duplicate prayer rows. In addition, several other aspects also drew public attention, such as the Friday prayer call style being different from the usual, introducing Jewish greetings, and allegedly allowing students to commit adultery, with the sin being redeemable for a certain amount of money. These controversies naturally sparked various reactions from the Indonesian public. This study employs the Support Vector Machine (SVM) method combined with Term Frequency-Inverse Document Frequency (TF-IDF) word weighting to evaluate public sentiment regarding various controversies associated with the Al-Zaytun Islamic boarding school. The data used in this research consists of tweets collected through a scraping process using Tweet Harvest with several relevant keywords. The results are analyzed to classify sentiment into three categories: positive, neutral, and hostile. The entire process is carried out systematically to obtain classification results that are both accurate and relevant to the ongoing social phenomena. Therefore, this study aims to implement the Support Vector Machine (SVM) algorithm to classify Twitter user sentiments towards the Al-Zaytun Islamic Boarding School controversy. The research collected 1,018 tweets through a scraping process using Tweet Harvest via Google Collab, with keywords such as "alzaytun," "zaytun," "panji gumilang," and "al-zaytun." The sentiment distribution consisted of 133 positive sentiments, 313 negative sentiments, and 572 neutral sentiments. Based on the classification evaluation results, the Support Vector Machine algorithm achieved an accuracy of 76%, a precision of 78.3%, a recall of 67.6%, and an F1 score of 69.6%.
Co-Authors Abda Abda Abdul Aziz Jaziri, Abdul Aziz Abdul Rizal AZ Adetia Irvanda Adri Wanto Agustin Agustin Aji Pangestu, Febriana Alfahmi, M. Lutfi Alim, Muhammad Taqdirul Amelia, Cevy Amrullah, Nafis Azmi Andi Wapa Anggraini, Rima Berti ani, Muli Aprilianda, Wiwie Arief Hidayat Aritonang, Ardelina Ariyanti Napitupulu, Pariang Arlin Fajar Saragih Aryandi, Aryandi Aulia, Nadya Rahma Aulia, Riva Auvaria, Shinfi Wazna Bekti, Joko Tigo Narimo BOBBY RAHMAN, BOBBY Budi Sulistiyo Nugroho Bustami Bustami Chandra Halim Chania, Veronicha Chaylaurent, Caren Chrisnajayantie, Raden Roro Brilianti Dahlan Abdullah Dahlan, Mukhtar Zaini Deastuti, Francilia Devita, Melindia Dewi, Hesti Puspita Donsu, Jenita Doli Tine Efri, Efri Eko Gani PG Eva Darnila Eva Dolorosa Ezwarsyah Ezwarsyah Fadlisyah Fadlisyah Faizal, Kgs. M. Fajriana, Fajriana Farid Deza Amin Nur Rasyid Fariski, Resta Fasim Hasibuan, Wilda Fatmariza Fatmariza Fauzan . Fauzi, Alfi Fazilah, Nura Fazrul Sandi Purnomo Fitri, Nurwijaya Fitria, Nurwijaya Fredinan Yulianda Fuadi, Wahyu Fuadi, Wahyu Gunawan Gunawan Hanan, Sahirah Shafa Alifiyah Handayani, Tri Widyastuti Hartono, Ali Haryanto, Darban Hasrul Hasrul, Hasrul Hermain, Hermain Hidayatus Sholihah Hikalmi, Hikalmi Ikasari, Linda Ilham Kurniawan, Muhammad Indah Permata Sari Indri, Nia Isfayani, Erna Isnayati, Isnayati Istifadah, Shovi Yatul Karyati, Atik Keumala, Cut Muftia Khasanah, Titik Fajriyati Nur Komariah Komariah Kurniawan, Nurhafid Kusumajaya, Hendra Lasmini Lasmini, Lasmini Lestari Wibowo Lestari, Indri Puji Lestari, Widia Ayuning Lifia, Reti Columba Lis Ayu Widari, Lis Ayu Lucky Herawati LULUK ASMAWATI Lupita, Veronica M, Munawar M. Lutfi Al Fahmi Maisyuri, Maisyuri mardyanti , lelly Marlina Sari Masniah Masniah Maulidin, Maulidin Meilando, Rizky Melly Yani Melly Meriatna Meriatna Metty, Metty MISWAR MISWAR MMSI Irfan ,S. Kom Muhammad Jihad Saputra Muhammad Zakaria Mukhlisuddin Ilyas muli ani Musanna Muslim Gunawan Najmuddin Najmuddin Naura Hazirah Nisfia, Laila Noamperani, Sapta Rahayu Nugroho, Arif Riyanto Budi Nurdin Nurdin Nurlitasari, Anggita Nurvinanda, Rezka Nuryanti, Rahma Oktalio, Oktalio Oktaningsih, khendy Oktarina, Rusmilda Oktavia, Tri Paloma, Ira Prameswari, Yuditia Putra, Septian Aditya Putri Nur Assyifa Putri, Indah Hidayah Putri, Ninda Maulida Rahman*, Bobby Rahmani, Septi Ayu Rahmi, Hanifatul Raihan Putri Ramadhanty, Helsy Riansyah, Riansyah Rianti, Lina Rismaida, Rismaida Rochma, Izura Rosiani, Yessi Rr Diah Nugraheni Setyowati, Rr Diah Nugraheni Rudini Rudini, Rudini Ruslan, Hermain Rustiyana, Rustiyana S. Padmini, Oktavia Salfin Sanjaya, Arya Sari , Indah Permata Sarita Oktorina Sepriadi Sepriadi Shalawati, Shalawati Sipangkar, Silvana Delima Sirli Agustiani Sofyan, Diana Khairani Soleha Soleha Subroto, Popo Sufyan Hakim Sujacka Retno Sumarwoto, S.H.I., M.H. Sumarwoto, S.H.I., M.H. Surya Surya Suryanef Suryanef Susanto, Abiyyu Naufal Suskandini Ratih Dirmawati Suwardi Suwardi Syafa, Luthfiani Syahnda, Aftri Syahrandy Fazra Syahrial Shaddiq T. Fardiansyah Taufik, Nugraha Muhammad Tazrin, Cut Nisrina Trisna Trisna Trisna Trisna, Trisna Triyugo Winarko Ulfi Zahara Ulul Azmi Wahyu Fuadi Wahyu Fuadi Widiani, Lestari Wirayuda, Trisna Wulan Safitri, Wulan Wulandari Wulandari YANTI, HERA Yenni Carolina Yusnidar Yusuf Hanafi Zahara, Ulfi Zahraini Zahraini Zainul, Muhammad Zakaria, Zuraida Zara Yunizar Zularnaini, Zulkarnaini Zuraida Zuraida