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Overcoming imbalanced rice seed germination classification: enhancing accuracy for effective seedling identification Mara, Muhlasah Novitasari; Hidayat, Sidiq Syamsul; Putri, Farika Tono; Rahmawati, Dwi; Wahyuni, Sri; Prabowo, Muhamad Cahyo Ardi; Kabir, Noer Ni'mat Syamsu; Indra, Ragil Tri
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i1.pp62-72

Abstract

This study aimed to automatically classify rice seedling germination on day seven using image analysis. The categories included normal, abnormal, and dead seeds. Due to the rarity of abnormal seedlings, capturing their images resulted in imbalanced data. To address this, abnormal categories were combined into a single class. We compared logistic regression, random forest, and deep learning models (VGG19, VGG16, Alex Net) for classification. Surprisingly, logistic regression achieved the highest accuracy (93.89%) and F1-scores (0.96 normal, 0.81 abnormal) despite the imbalanced data and complex task. The effectiveness of logistic regression for rice seedling classification with imbalanced data has been demonstrated in this novel research. Historically, deep learning models dominate image recognition, but our findings suggest simpler models can excel in specific scenarios, especially with limited data availability. This highlights the importance of selecting models based on data characteristics. The urgency for this research stems from the need for efficient and accurate rice seedling evaluation. Improved classification can enhance agricultural practices and optimize resource allocation.
Determinan yang Mempengaruhi Mahasiswa di Kota Palembang dalam Melakukan Pembelanjaan Online Di Shopee Rahmawati, Dwi; Maretha, Revina Indah
SEIKO : Journal of Management & Business Vol 7, No 1.1 (2024)
Publisher : Program Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/sejaman.v7i1.6576

Abstract

Maraknya perkembangan digital, jual beli barang sangat memudahkan orang. Mereka hanya perlu melakukan pemesanan melalui smartphone atau ponsel mereka, dan barang akan dikirim langsung ke rumah mereka melalui kurir. Ini disebut "pembelian online". Ada banyak jenis jual beli yang bisa dilakukan secara online, seperti kegiatan jual beli melalui marketplace, e-commerce dan toko online. Penelitian ini bertujuan untuk mengetahui apa saja faktor penentu yang mempengaruhi pertimbangan pembelian barang di marketplace, sebagian Shopee, oleh mahasiswa di Kota Palembang. Sampel yang digunakan dalam penelitian ini adalah mahasiswa Universitas Palembang jurusan agroteknologi tahun akademik 2023/2024 yang melakukan pembelian secara online melalui Shopee Marketplace. Dalam penelitian ini, data dikumpulkan dengan menyebarkan kuesioner secara online kepada 124 responden, yang semuanya adalah mahasiswa di Universitas Palembang, program studi agroteknologi pada tahun akademik ganjil 2023 yang melakukan pembelian online melalui Shopee Marketplace. Ada lima determinan kuat yang mempengaruhi keputusan responden; kemudahan berbelanja di aplikasi Shopee, keramahan pengguna, fitur pencarian, proses pembayaran, privasi pelanggan. Namun demikian, ada juga faktor yang cukup mempengaruhi; kondisi toko offline, pertimbangan waktu, pembayaran tanpa uang tunai. Kata Kunci: marketplace, shopee, belanja online
PROFIL KESULITAN PEMECAHAN MASALAH MATEMATIKA BERDASARKAN TEORI POLYA PADA MATERI BILANGAN Hanum Maulida, Hanum; Anwar, Rahmad Bustanul; Rizki, Swaditya; Rahmawati, Dwi
JURNAL LENTERA [PENDIDIKAN PUSAT PENELITIAN LPPM UM METRO] Vol 6, No 1 (2021): Jurnal Lentera Pendidikan Pusat Penelitian LPPM UM Metro
Publisher : LPPM UM Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jlpp.v6i1.1682

Abstract

PENERAPAN ALGORITMA SEQUENTIAL SEARCH PADA CHATBOT WHATSAPP UNTUK LAYANAN PENGADUAN APLIKASI SMEP Rahmawati, Dwi; Setyawan, Mohammad Bhanu; Prasetyo, Angga
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.18134

Abstract

SMEP, or Reporting Evaluation Monitoring System is a web-based application designed to provide information on the progress of goods and services procurement within the Ponorogo Regional Government. Currently, consultations related SMEP are conducted manually through the WhatsApp platform, but there is no mechanism to process information from the submitted reports. The Development Administration Divisioon identified the need to develop a chatbot whatsapp complaint service application, to strengthen interactive relationship with users. This application implements the Sequential Search algorithm to accelerate the database search process, aiming to significantly improve the quality of SMEP services. The development method used is Research and Development (R&D) with waterfall model development procedures. The Application was tested for functional suitability using media validity test sheets and obtaining a 100% validity percentage. Usability testing, using a questionnaire with 50 SMEP application users, resulted in an 89.67% validity persentage, thus qualifying as “Very Worthy” on the Likert scale. Based on testing results, it can be concluded that the Whatsapp chatbot for SMEP complaint services, which implements the sequential search algorithm, is highly effective and make positive contribution to improving the efficiency and effectiveness of SMEP services.
The Influence of the TikTok Algorithm on Gen Z's Language Ability Puspasari, Karirah Dwi; Rahmawati, Dwi; Hanifah, Ratna Laylatul; Agustin, Natasya Jollyn Karisya; Amalia, Syakira KHusnul; Shobayarin, Endang
International Journal on Advanced Science, Education, and Religion Vol 7 No 4 (2024): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v7i4.679

Abstract

This research aims to (1) To find out the language used by Gen Z before and after using Tiktok. (2) To determine the positive and negative impacts of the TikTok algorithm in shaping the language skills of Gen Z. The research method used is a qualitative method, collecting data using indirect interviews via Google Form which are distributed to informants who are active TikTok users. Carried out from October to November. The collected data was then analyzed descriptively. The results of this research show that (1) The language used by Gen Z before using TikTok tends to be informal, everyday and does not use a lot of slang or slang originating from TikTok. (Dewi, 2024) After using the TikTok application, the language used by Gen Z is also I still tend to be informal on a daily basis, but I use a lot of slang or slang that comes from Tiktok (2) Positive impact The TikTok algorithm in shaping Gen Z's language skills is increasing language creativity and the ability to adapt to various communication styles. Meanwhile, the negative impact is a decrease in Gen Z's use of standard language and an increase in the use of informal words, which can affect language skills in formal contexts.
Malocclusion prevalence in 11-13 years old student in the Madrasah Tsanawiyah Melirang, Gresik Ardani, I Gusti Wahju Aju; Rahmawati, Dwi; Nugraha, Alexander Patera; Pramusita, Adya; Ariyadi, Satrio Kris
Indonesian Journal of Dental Medicine Vol. 7 No. 2 (2024): Indonesian Journal of Dental Medicine
Publisher : Faculty of Dental Medicine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijdm.v7i2.2024.64-66

Abstract

Background: When teeth are not positioned correctly, it is referred to as malocclusion, and it frequently happens in the general population. One of the traits of malocclusion that is frequently observed in children beginning in the early mixed dentition phase is crowded teeth. This disorder will become more serious and cause speech, masticatory, and cosmetic issues if therapy is not started right away. Environmental and genetic factors have a significant impact on malocclusion. Therefore, a child's nutrition, bad habits, trauma to the main teeth, and the pattern acquired from both parents will all affect the malocclusion's characteristics. Purpose: Enhance instruction in identifying malocclusion and the stages of permanent and changing tooth growth. Methods: Forty-six students from Madrasah Tsanawiyah's classes 7A and 7B participated. Intraoral examinations and the completion of pretest and posttest questionnaires were used to collect data. Next, Stastical Package Social Science (SPSS) version 23 was used to analyze the frequency distribution data. Results: Male students had more crowded teeth (20) and less crowded teeth (2) than female students (18) and less crowded teeth (6). Class I malocclusion (41), class II malocclusion (3), and class III malocclusion (2) are the highest. Conclusion: Malocclusion class I is characterized by the greatest number of crowded teeth in males aged 8 to 10 years.
The Influence of the TikTok Algorithm on Gen Z's Language Ability Puspasari, Karirah Dwi; Rahmawati, Dwi; Hanifah, Ratna Laylatul; Agustin, Natasya Jollyn Karisya; Amalia, Syakira KHusnul; Shobayarin, Endang
International Journal on Advanced Science, Education, and Religion Vol 7 No 4 (2024): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v7i4.679

Abstract

This research aims to (1) To find out the language used by Gen Z before and after using Tiktok. (2) To determine the positive and negative impacts of the TikTok algorithm in shaping the language skills of Gen Z. The research method used is a qualitative method, collecting data using indirect interviews via Google Form which are distributed to informants who are active TikTok users. Carried out from October to November. The collected data was then analyzed descriptively. The results of this research show that (1) The language used by Gen Z before using TikTok tends to be informal, everyday and does not use a lot of slang or slang originating from TikTok. (Dewi, 2024) After using the TikTok application, the language used by Gen Z is also I still tend to be informal on a daily basis, but I use a lot of slang or slang that comes from Tiktok (2) Positive impact The TikTok algorithm in shaping Gen Z's language skills is increasing language creativity and the ability to adapt to various communication styles. Meanwhile, the negative impact is a decrease in Gen Z's use of standard language and an increase in the use of informal words, which can affect language skills in formal contexts.
Time of detasseling and defoliation effect on hybrid sweet corn (Zea mays saccharata. Sturt) seed production Rahmawati, Dwi; Rahayu, Sri; Sjamsijah, Nurul; Nafisah, Siti

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i2.4105

Abstract

Introduction: Sweet corn (Zea mays saccharata Sturt) is one of the horticultural crops that is in great demand in Indonesia because of its distinctive sweet taste and relatively short production time. To improve the quality and quantity of hybrid sweet corn seed production, it is necessary to apply appropriate agronomic techniques, such as detasseling (removal of male flowers) and defoliation (pruning leaves). This study aims to determine the interaction between detasseling time and the number of leaves pruned on the production parameters of hybrid sweet corn. Methods: The study was conducted in Wringintelu Village, Puger, Jember, from August to December 2022, using a factorial randomized block design (RBD) with three replications. The treatments consisted of three detasseling times (48 DAP, 50 DAP, and 52 DAP) and three levels of defoliation (no defoliation, 2 leaves, and 4 leaves). Data were analyzed using ANOVA and continued with a 5% DMRT test if there was a significant effect. Results: The results showed that the interaction of detasseling time of 48 HST with 4-leaf defoliation gave the best results on the parameters of cob weight (78.55 g) and cob length (14.97 cm). Individually, the treatment of detasseling time of 48 HST produced the highest seed production per hectare of 18.44 tons, while 4-leaf defoliation produced a production of 18.17 tons per hectare. Conclusion: In conclusion, the combination of detasseling time of 48 HST and 4-leaf defoliation is the best treatment to increase the production of hybrid sweet corn seeds, so it can be a recommendation for agronomic practices to increase sweet corn productivity in Indonesia.
Association between breast care knowledge and smooth breast milk production in post-caesarean mothers Agustin, Hellis Tria; Rahmawati, Dwi; Gaghauna, Eirene Eunika Meidiana; Hasanah, Siti Noor
Health Sciences International Journal Vol. 3 No. 1: February 2025
Publisher : Ananda - Health & Education Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71357/hsij.v3i1.56

Abstract

Background: Sectio caesarean (SC) is increasingly common, with significant challenges for breastfeeding due to factors like postoperative pain and mobility limitations. Proper breast care can support milk production, yet many mothers lack adequate knowledge about its importance and techniques. Understanding the relationship between breast care knowledge and breastfeeding outcomes in post-SC mothers is critical to improving maternal and child health. Objective: This study aimed to examine the relationship between breast care knowledge and smooth breast milk production among post-SC mothers. Method: A cross-sectional study was conducted among 30 post-SC mothers at Ibunda Mother and Child Hospitals, Tanah Laut, from September to November 2023. Participants were selected through accidental sampling. Data on breast care knowledge and milk production were collected using validated instruments and analyzed using chi-square tests. Results: Most respondents had sufficient breast care knowledge (73%), and 90% reported smooth breast milk production. However, no significant association was found between breast care knowledge and milk production (p = 0.78). This indicates that while knowledge is vital, other factors such as psychological and physiological conditions also play a role. Conclusion: Although most participants demonstrated good knowledge and milk production, this study highlights that breastfeeding success is multifactorial, requiring holistic approaches that address physical, psychological, and social dimensions. Integrating education with practical support could enhance breastfeeding outcomes.
The Influence of the TikTok Algorithm on Gen Z's Language Ability Puspasari, Karirah Dwi; Rahmawati, Dwi; Hanifah, Ratna Laylatul; Agustin, Natasya Jollyn Karisya; Amalia, Syakira KHusnul; Shobayarin, Endang
International Journal on Advanced Science, Education, and Religion Vol 7 No 4 (2024): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v7i4.679

Abstract

This research aims to (1) To find out the language used by Gen Z before and after using Tiktok. (2) To determine the positive and negative impacts of the TikTok algorithm in shaping the language skills of Gen Z. The research method used is a qualitative method, collecting data using indirect interviews via Google Form which are distributed to informants who are active TikTok users. Carried out from October to November. The collected data was then analyzed descriptively. The results of this research show that (1) The language used by Gen Z before using TikTok tends to be informal, everyday and does not use a lot of slang or slang originating from TikTok. (Dewi, 2024) After using the TikTok application, the language used by Gen Z is also I still tend to be informal on a daily basis, but I use a lot of slang or slang that comes from Tiktok (2) Positive impact The TikTok algorithm in shaping Gen Z's language skills is increasing language creativity and the ability to adapt to various communication styles. Meanwhile, the negative impact is a decrease in Gen Z's use of standard language and an increase in the use of informal words, which can affect language skills in formal contexts.
Co-Authors ., Noval Abdul Hoyyi Abdul Jabbar Abdul Jabbar Abibah, Hikmatul Ade Gunawan Adriweri, Erza Afriyanti, Siti Agusdiyanti, Dhevy Aulia Agustin, Eki Agustin, Hellis Tria Agustin, Natasya Jollyn Karisya Agustina, Yunita Ahmad, H Jazim Aini, Maqfiroh Intan Nurul Aini, Subang Akhmad Sutiyono Akmal, Muhamad Roihan Alawiyah, Najwa Syifa Alexander Patera Nugraha Alida, Alida Amalia, Syakira KHusnul Amiruddin, Mohd. Hasril Andri Wicaksono, Andri Angga Prasetyo Anggraini, Putri Dewi Anwar, Rahmad Ardani, I Gusti Wahju Aju Ari Triwardhani Arif Husen, Irfan Arif Setiawan Arifah, Erma Zakiy Ariyadi, Satrio Kris Arshy Prodyanatasari Asmajaya, Rudi Astutianingtyas, Desy Fitria Atunnisa, Rifa' Azri Kusuma Dewi Bagus Ardi Saputro Bambang Suryono, Bambang Bamegawati, Ika Melinda Blegur, Maiyolisa Alvayona Boru Nainggolan, Tiomora Budiman, Rahmat Budiwinata, Winarta Chasanah, Aisya Nurul Chrustiana, Tin Indria Deby Luriawati N., Deby Luriawati Dede Mahdiyah, Dede Devi Arista Dewanti, Hafizha Arwa Dewi Oktaviani, Dewi Dewi Setya Kusumawardani Dewi, Mia Novita Diana Diane Marlin Dwi Salmarini, Desilestia Dyah Nuning Erawati Elok Savitri Pusparini, Elok Savitri Ermawati, Elly Ershanti, Agnes Dewi Wuri Fadhiyah Noor Anisa Fahruddin, Bagus Fajar Imamudin Fauzi, Irsyad febriyanti febriyanti Fenny Roshayanti Fikri, Dzakiyyah Firnanda, Ulfa Fisdiana, Usken Fitri Anggraeni Fitri Yuliana, Fitri Gaghauna, Eirene Eunika Meidiana Gunawan Prayitno Gunawan Sudarsono, Bernadus Hafizatunnisa, Hafizatunnisa Handayani , Lisda Handoko Sakti, Sri Hanifah, Ratna Laylatul Hanum Maulida, Hanum Hariadi Widodo, Hariadi Haris, Amnan Haryadi - Herliyani Hermajiwandini, Chandra Murti Dewi Widowati Hia, Nia Agustina Hilal, Zaimah Holeng, Vera Angelina Humaida, Siti Husen, Irfan Arif Ida Ayu Putu Sri Widnyani Ida Bagus Narmada Ika Friscila, Ika Ika Mardiatul Ulfa, Ika Mardiatul Indra Pahala Indra, Ragil Tri Ira Vahlia Ismail, Alaina Zulfa Istiqamah , Istiqamah Istiqamah, Istiqamah Istiqomah Jamallika, Sa’adah Nurwidyani Jannah, Laila Miftahul Jati, Elisabeth Gita Damar Kabir, Noer Ni'mat Syamsu Kurniani Fatma Hardini Kurniati, Brigita Ivana Kusumaningsih, Anita Lailatul Badriyah Lailla Hidayatul Amin Laura, Winona Lestari, Shifa Lidya Kurniasari Lisa Meilinda Sari Lisda Handayani, Lisda M.J NASHIR Ma’ruf, Syamsul Azhar Qowwam Mahdiah, Dede Mara, Muhlasah Novitasari Mardiatul Ulfa, Ika Maretha, Revina Indah Margareta Pratiwi Maria Devitha, Maria Mariana, Frani Mastika, I Ketut Megantara, Riizko Wira Artha Meidawati, Gusti Sophia Melviani, Melviani Moch Rosyadi Adnan Mohammad Bhanu Setyawan Muchamad Subali Noto Mudakir, Ulul Mufikasari, Venti Yanti Muharom, Latifah Mulyanto, Tatag Muslim , Abdul Aziz Mustika Mustika Mustikasari, Yesi Nas Haryati Setyaningsih Naschah, Ana Farichatun Nastiti, Kunti Nathalia, Ayu Nathaniel, Axel Negeri Nego Linuhung Negrita, Amelia Riiza Niki Astria Ningrum, Imron Wahyu Teja Noor Latifah Noor, Tengku Natasha Eleena binti Tengku Ahmad Noval Novalia Widiya Ningrum, Novalia Widiya Nurdin, Fauji Nurhanurawati Nurhanurawati Nuriavani, Dina Nursela, Nisa Nurul Amalia Nurul Farida NURUL HIDAYAH Nurul Sjamsijah Okta Dede Alvionita, Okta Dede Permadani, Tri Nova Ayu Permadi, Hendro Permana, Pawit Indra Prabowo, Muhamad Cahyo Ardi Pradana, Hasta Dwi Prahmani, Yonika Sindiana Pramusita, Adya Pratama, Diyan Prayitno, Iswahyudi Joko Puspasari, Karirah Dwi Putranti, Nurul Aisyah Rizky Putri Permata Sari Putri, Farika Tono Putri, Ira Ekanda Putri, Melia Luthfiana Putri, Rizda Amalia Putri, Salma Dwi Putri, Zahwa Actamevia Qonita, Aisyah Rahmad Bustanul Anwar Rahmad Bustanul Anwar, Rahmad Rahmahani, Isri Wahyuni Rahmalidya, Alfia Rahmawati, Diane Rahmawati, Nita Dewi Rahmawati, Yunita Fera Ramadhan Taufika Ratna Djuwita Riady, Yasir Ridho Fariz, Trida Rina Agustina Rizqi, Ainur Robiansyah, Firman Ryeo, Park Jin Sabar Hutabarat Sabatina, Dea Sakti, Sri Handoko Salsabila, Aulia Rosada Santika, Putri Saputra, Rizki Hermawan Sari, Desy Fitria Sari, Lusi Purnama Sari, Meli Eka Sari, Rina Fitria SARKIAH SARKIAH Sarwono Sarwono Satrio Wicaksono Sudarman Setiawan, Hendri Indra Setiawan, Rahman Setyarsih, Liani Sharyanto, Sharyanto Shobayarin, Endang Siahaan, Gustien Siahaan, Novia Agnes Sidiq Syamsul Hidayat, Sidiq Syamsul Siregar, Zepanya Gladis Tabita Sismeri Dona, Sismeri Siti Nafisah Siti Noor Hasanah Siti Roudhotul Jannah, Siti Roudhotul Sofia Ery Rahayu Sri Katoningsih SRI RAHAYU Sri Setyowati Sri Wahyuni Subandi Subandi Sugiarti, Amrih Sugiharti, Amrih Suhardono, Sapta Sultan, Habil Supriyadi Susanti Suhartati, Susanti Sutikno, Muhammad Abbi Fahrezy Sutrisni Andayani, Sutrisni Sutrisno, Sutrisno Swaditya Rizki Syafa'at, Wahyu Syafrimen Syafril Syamsul Arifin Tafdillah, Chaizut Tiasari, Leila Tina Yunarti Toto Subroto Tri Bodroastuti Tri Hesti Utaminingtyas, Tri Hesti Triasih, Triasih Triastuti Wuryandari Trida Ridho Fariz Triyono, Liliek Turniningtyas Ayu Rachmawati Umi Hartati, Umi Usman, Ismail Utami, Sari Utari, Sri Wahdah, Rabia Wahyudin, Amri Reza Wakhdania, Fira Wandari, Mellyana Putri Ayu Widiya Ningrum, Novalia Widjajanti, Kristina Wilujeng, Elly Daru Wilujeng, Elly Daru Ika Wiradharma, Gunawan wismawati, wismawati Wulandari, Leni Wulandari, Rr.Revani Putri Ayu Wulandari, Tiara Dwi Yani, Novi Yati, Eka Veramudi Yeni Rahmawati, Yeni Yesi Mustika Sari Yuberti Yufis Azhar Yuliana, Sakalesi Sari Yuliantie, Putri Yusnita, Renny Zainuddin Zulliati Zulliati, Zulliati